claude-task-master/output.txt

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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Cj1ATrvwzbUedC1YTH2tT","type":"tool_result","content":"     1→---\n     2→\"task-master-ai\": minor\n     3→---\n     4→\n     5→Enhanced Roo Code profile with MCP timeout configuration for improved reliability during long-running AI operations. The Roo profile now automatically configures a 300-second timeout for MCP server operations, preventing timeouts during complex tasks like `parse-prd`, `expand-all`, `analyze-complexity`, and `research` operations. This change also replaces static MCP configuration files with programmatic generation for better maintainability.\n     6→\n     7→**What's New:**\n     8→- 300-second timeout for MCP operations (up from default 60 seconds)\n     9→- Programmatic MCP configuration generation (replaces static asset files)\n    10→- Enhanced reliability for AI-powered operations\n    11→- Consistent with other AI coding assistant profiles\n    12→\n    13→**Migration:** No user action required - existing Roo Code installations will automatically receive the enhanced MCP configuration on next initialization.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer high-level questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"7bef3f23-d63c-41e8-b2d3-5fdd0774341b"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0161zEtL81MoyvZP1M7szfbH","type":"tool_result","content":"     1→# Configuration\n     2→\n     3→Taskmaster uses two primary methods for configuration:\n     4→\n     5→1.  **`.taskmaster/config.json` File (Recommended - New Structure)**\n     6→\n     7→    - This JSON file stores most configuration settings, including AI model selections, parameters, logging levels, and project defaults.\n     8→    - **Location:** This file is created in the `.taskmaster/` directory when you run the `task-master models --setup` interactive setup or initialize a new project with `task-master init`.\n     9→    - **Migration:** Existing projects with `.taskmasterconfig` in the root will continue to work, but should be migrated to the new structure using `task-master migrate`.\n    10→    - **Management:** Use the `task-master models --setup` command (or `models` MCP tool) to interactively create and manage this file. You can also set specific models directly using `task-master models --set-<role>=<model_id>`, adding `--ollama` or `--openrouter` flags for custom models. Manual editing is possible but not recommended unless you understand the structure.\n    11→    - **Example Structure:**\n    12→      ```json\n    13→      {\n    14→        \"models\": {\n    15→          \"main\": {\n    16→            \"provider\": \"anthropic\",\n    17→            \"modelId\": \"claude-3-7-sonnet-20250219\",\n    18→            \"maxTokens\": 64000,\n    19→            \"temperature\": 0.2,\n    20→            \"baseURL\": \"https://api.anthropic.com/v1\"\n    21→          },\n    22→          \"research\": {\n    23→            \"provider\": \"perplexity\",\n    24→            \"modelId\": \"sonar-pro\",\n    25→            \"maxTokens\": 8700,\n    26→            \"temperature\": 0.1,\n    27→            \"baseURL\": \"https://api.perplexity.ai/v1\"\n    28→          },\n    29→          \"fallback\": {\n    30→            \"provider\": \"anthropic\",\n    31→            \"modelId\": \"claude-3-5-sonnet\",\n    32→            \"maxTokens\": 64000,\n    33→            \"temperature\": 0.2\n    34→          }\n    35→        },\n    36→        \"global\": {\n    37→          \"logLevel\": \"info\",\n    38→          \"debug\": false,\n    39→          \"defaultNumTasks\": 10,\n    40→          \"defaultSubtasks\": 5,\n    41→          \"defaultPriority\": \"medium\",\n    42→          \"defaultTag\": \"master\",\n    43→          \"projectName\": \"Your Project Name\",\n    44→          \"ollamaBaseURL\": \"http://localhost:11434/api\",\n    45→          \"azureBaseURL\": \"https://your-endpoint.azure.com/openai/deployments\",\n    46→          \"vertexProjectId\": \"your-gcp-project-id\",\n    47→          \"vertexLocation\": \"us-central1\",\n    48→\t      \"responseLanguage\": \"English\"\n    49→        }\n    50→      }\n    51→      ```\n    52→\n    53→> For MCP-specific setup and troubleshooting, see [Provider-Specific Configuration](#provider-specific-configuration).\n    54→\n    55→2.  **Legacy `.taskmasterconfig` File (Backward Compatibility)**\n    56→\n    57→    - For projects that haven't migrated to the new structure yet.\n    58→    - **Location:** Project root directory.\n    59→    - **Migration:** Use `task-master migrate` to move this to `.taskmaster/config.json`.\n    60→    - **Deprecation:** While still supported, you'll see warnings encouraging migration to the new structure.\n    61→\n    62→## Environment Variables (`.env` file or MCP `env` block - For API Keys Only)\n    63→\n    64→- Used **exclusively** for sensitive API keys and specific endpoint URLs.\n    65→- **Location:**\n    66→  - For CLI usage: Create a `.env` file in your project root.\n    67→  - For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.\n    68→- **Required API Keys (Depending on configured providers):**\n    69→  - `ANTHROPIC_API_KEY`: Your Anthropic API key.\n    70→  - `PERPLEXITY_API_KEY`: Your Perplexity API key.\n    71→  - `OPENAI_API_KEY`: Your OpenAI API key.\n    72→  - `GOOGLE_API_KEY`: Your Google API key (also used for Vertex AI provider).\n    73→  - `MISTRAL_API_KEY`: Your Mistral API key.\n    74→  - `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).\n    75→  - `OPENROUTER_API_KEY`: Your OpenRouter API key.\n    76→  - `XAI_API_KEY`: Your X-AI API key.\n    77→- **Optional Endpoint Overrides:**\n    78→  - **Per-role `baseURL` in `.taskmasterconfig`:** You can add a `baseURL` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.\n    79→  - **Environment Variable Overrides (`<PROVIDER>_BASE_URL`):** For greater flexibility, especially with third-party services, you can set an environment variable like `OPENAI_BASE_URL` or `MISTRAL_BASE_URL`. This will override any `baseURL` set in the configuration file for that provider. This is the recommended way to connect to OpenAI-compatible APIs.\n    80→  - `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseURL` for the Azure model role).\n    81→  - `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).\n    82→  - `VERTEX_PROJECT_ID`: Your Google Cloud project ID for Vertex AI. Required when using the 'vertex' provider.\n    83→  - `VERTEX_LOCATION`: Google Cloud region for Vertex AI (e.g., 'us-central1'). Default is 'us-central1'.\n    84→  - `GOOGLE_APPLICATION_CREDENTIALS`: Path to service account credentials JSON file for Google Cloud auth (alternative to API key for Vertex AI).\n    85→\n    86→**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmaster/config.json`** (or `.taskmasterconfig` for unmigrated projects), not environment variables.\n    87→\n    88→## Tagged Task Lists Configuration (v0.17+)\n    89→\n    90→Taskmaster includes a tagged task lists system for multi-context task management.\n    91→\n    92→### Global Tag Settings\n    93→\n    94→```json\n    95→\"global\": {\n    96→  \"defaultTag\": \"master\"\n    97→}\n    98→```\n    99→\n   100→- **`defaultTag`** (string): Default tag context for new operations (default: \"master\")\n   101→\n   102→### Git Integration\n   103→\n   104→Task Master provides manual git integration through the `--from-branch` option:\n   105→\n   106→- **Manual Tag Creation**: Use `task-master add-tag --from-branch` to create a tag based on your current git branch name\n   107→- **User Control**: No automatic tag switching - you control when and how tags are created\n   108→- **Flexible Workflow**: Supports any git workflow without imposing rigid branch-tag mappings\n   109→\n   110→## State Management File\n   111→\n   112→Taskmaster uses `.taskmaster/state.json` to track tagged system runtime information:\n   113→\n   114→```json\n   115→{\n   116→  \"currentTag\": \"master\",\n   117→  \"lastSwitched\": \"2025-06-11T20:26:12.598Z\",\n   118→  \"migrationNoticeShown\": true\n   119→}\n   120→```\n   121→\n   122→- **`currentTag`**: Currently active tag context\n   123→- **`lastSwitched`**: Timestamp of last tag switch\n   124→- **`migrationNoticeShown`**: Whether migration notice has been displayed\n   125→\n   126→This file is automatically created during tagged system migration and should not be manually edited.\n   127→\n   128→## Example `.env` File (for API Keys)\n   129→\n   130→```\n   131→# Required API keys for providers configured in .taskmaster/config.json\n   132→ANTHROPIC_API_KEY=sk-ant-api03-your-key-here\n   133→PERPLEXITY_API_KEY=pplx-your-key-here\n   134→# OPENAI_API_KEY=sk-your-key-here\n   135→# GOOGLE_API_KEY=AIzaSy...\n   136→# AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here\n   137→# etc.\n   138→\n   139→# Optional Endpoint Overrides\n   140→# Use a specific provider's base URL, e.g., for an OpenAI-compatible API\n   141→# OPENAI_BASE_URL=https://api.third-party.com/v1\n   142→#\n   143→# Azure OpenAI Configuration\n   144→# AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/ or https://your-endpoint-name.cognitiveservices.azure.com/openai/deployments\n   145→# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api\n   146→\n   147→# Google Vertex AI Configuration (Required if using 'vertex' provider)\n   148→# VERTEX_PROJECT_ID=your-gcp-project-id\n   149→```\n   150→\n   151→## Troubleshooting\n   152→\n   153→### Configuration Errors\n   154→\n   155→- If Task Master reports errors about missing configuration or cannot find the config file, run `task-master models --setup` in your project root to create or repair the file.\n   156→- For new projects, config will be created at `.taskmaster/config.json`. For legacy projects, you may want to use `task-master migrate` to move to the new structure.\n   157→- Ensure API keys are correctly placed in your `.env` file (for CLI) or `.cursor/mcp.json` (for MCP) and are valid for the providers selected in your config file.\n   158→\n   159→### If `task-master init` doesn't respond:\n   160→\n   161→Try running it with Node directly:\n   162→\n   163→```bash\n   164→node node_modules/claude-task-master/scripts/init.js\n   165→```\n   166→\n   167→Or clone the repository and run:\n   168→\n   169→```bash\n   170→git clone https://github.com/eyaltoledano/claude-task-master.git\n   171→cd claude-task-master\n   172→node scripts/init.js\n   173→```\n   174→\n   175→## Provider-Specific Configuration\n   176→\n   177→### MCP (Model Context Protocol) Provider\n   178→\n   179→1. **Prerequisites**:\n   180→   - An active MCP session with sampling capability\n   181→   - MCP client with sampling support (e.g. VS Code)\n   182→   - No API keys required (uses session-based authentication)\n   183→\n   184→2. **Configuration**:\n   185→   ```json\n   186→   {\n   187→     \"models\": {\n   188→       \"main\": {\n   189→         \"provider\": \"mcp\",\n   190→         \"modelId\": \"mcp-sampling\"\n   191→       },\n   192→       \"research\": {\n   193→         \"provider\": \"mcp\",\n   194→         \"modelId\": \"mcp-sampling\"\n   195→       }\n   196→     }\n   197→   }\n   198→   ```\n   199→\n   200→3. **Available Model IDs**:\n   201→   - `mcp-sampling` - General text generation using MCP client sampling (supports all roles)\n   202→   - `claude-3-5-sonnet-20241022` - High-performance model for general tasks (supports all roles)\n   203→   - `claude-3-opus-20240229` - Enhanced reasoning model for complex tasks (supports all roles)\n   204→\n   205→4. **Features**:\n   206→   - ✅ **Text Generation**: Standard AI text generation via MCP sampling\n   207→   - ✅ **Object Generation**: Full schema-driven structured output generation\n   208→   - ✅ **PRD Parsing**: Parse Product Requirements Documents into structured tasks\n   209→   - ✅ **Task Creation**: AI-powered task creation with validation\n   210→   - ✅ **Session Management**: Automatic session detection and context handling\n   211→   - ✅ **Error Recovery**: Robust error handling and fallback mechanisms\n   212→\n   213→5. **Usage Requirements**:\n   214→   - Must be running in an MCP context (session must be available)\n   215→   - Session must provide `clientCapabilities.sampling` capability\n   216→\n   217→6. **Best Practices**:\n   218→   - Always configure a non-MCP fallback provider\n   219→   - Use `mcp` for main/research roles when in MCP environments\n   220→   - Test sampling capability before production use\n   221→\n   222→7. **Setup Commands**:\n   223→   ```bash\n   224→   # Set MCP provider for main role\n   225→   task-master models set-main --provider mcp --model claude-3-5-sonnet-20241022\n   226→   \n   227→   # Set MCP provider for research role  \n   228→   task-master models set-research --provider mcp --model claude-3-opus-20240229\n   229→   \n   230→   # Verify configuration\n   231→   task-master models list\n   232→   ```\n   233→\n   234→8. **Troubleshooting**:\n   235→   - \"MCP provider requires session context\" → Ensure running in MCP environment\n   236→   - See the [MCP Provider Guide](./mcp-provider-guide.md) for detailed troubleshooting\n   237→\n   238→### MCP Timeout Configuration\n   239→\n   240→Long-running AI operations in taskmaster-ai can exceed the default 60-second MCP timeout. Operations like `parse_prd`, `expand_task`, `research`, and `analyze_project_complexity` may take 2-5 minutes to complete.\n   241→\n   242→#### Adding Timeout Configuration\n   243→\n   244→Add a `timeout` parameter to your MCP configuration to extend the timeout limit. The timeout configuration works identically across MCP clients including Cursor, Windsurf, and RooCode:\n   245→\n   246→```json\n   247→{\n   248→  \"mcpServers\": {\n   249→    \"task-master-ai\": {\n   250→      \"command\": \"npx\",\n   251→      \"args\": [\"-y\", \"--package=task-master-ai\", \"task-master-ai\"],\n   252→      \"timeout\": 300,\n   253→      \"env\": {\n   254→        \"ANTHROPIC_API_KEY\": \"your-anthropic-api-key\"\n   255→      }\n   256→    }\n   257→  }\n   258→}\n   259→```\n   260→\n   261→**Configuration Details:**\n   262→- **`timeout: 300`** - Sets timeout to 300 seconds (5 minutes)\n   263→- **Value range**: 1-3600 seconds (1 second to 1 hour)\n   264→- **Recommended**: 300 seconds provides sufficient time for most AI operations\n   265→- **Format**: Integer value in seconds (not milliseconds)\n   266→\n   267→#### Automatic Setup\n   268→\n   269→When adding taskmaster rules for supported editors, the timeout configuration is automatically included:\n   270→\n   271→```bash\n   272→# Automatically includes timeout configuration\n   273→task-master rules add cursor\n   274→task-master rules add roo\n   275→task-master rules add windsurf\n   276→task-master rules add vscode\n   277→```\n   278→\n   279→#### Troubleshooting Timeouts\n   280→\n   281→If you're still experiencing timeout errors:\n   282→\n   283→1. **Verify configuration**: Check that `timeout: 300` is present in your MCP config\n   284→2. **Restart editor**: Restart your editor after making configuration changes\n   285→3. **Increase timeout**: For very complex operations, try `timeout: 600` (10 minutes)\n   286→4. **Check API keys**: Ensure required API keys are properly configured\n   287→\n   288→**Expected behavior:**\n   289→- **Before fix**: Operations fail after 60 seconds with `MCP request timed out after 60000ms`\n   290→- **After fix**: Operations complete successfully within the configured timeout limit\n   291→\n   292→### Google Vertex AI Configuration\n   293→\n   294→Google Vertex AI is Google Cloud's enterprise AI platform and requires specific configuration:\n   295→\n   296→1. **Prerequisites**:\n   297→   - A Google Cloud account with Vertex AI API enabled\n   298→   - Either a Google API key with Vertex AI permissions OR a service account with appropriate roles\n   299→   - A Google Cloud project ID\n   300→2. **Authentication Options**:\n   301→   - **API Key**: Set the `GOOGLE_API_KEY` environment variable\n   302→   - **Service Account**: Set `GOOGLE_APPLICATION_CREDENTIALS` to point to your service account JSON file\n   303→3. **Required Configuration**:\n   304→   - Set `VERTEX_PROJECT_ID` to your Google Cloud project ID\n   305→   - Set `VERTEX_LOCATION` to your preferred Google Cloud region (default: us-central1)\n   306→4. **Example Setup**:\n   307→\n   308→   ```bash\n   309→   # In .env file\n   310→   GOOGLE_API_KEY=AIzaSyXXXXXXXXXXXXXXXXXXXXXXXXX\n   311→   VERTEX_PROJECT_ID=my-gcp-project-123\n   312→   VERTEX_LOCATION=us-central1\n   313→   ```\n   314→\n   315→   Or using service account:\n   316→\n   317→   ```bash\n   318→   # In .env file\n   319→   GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json\n   320→   VERTEX_PROJECT_ID=my-gcp-project-123\n   321→   VERTEX_LOCATION=us-central1\n   322→   ```\n   323→\n   324→5. **In .taskmaster/config.json**:\n   325→   ```json\n   326→   \"global\": {\n   327→     \"vertexProjectId\": \"my-gcp-project-123\",\n   328→     \"vertexLocation\": \"us-central1\"\n   329→   }\n   330→   ```\n   331→\n   332→### Azure OpenAI Configuration\n   333→\n   334→Azure OpenAI provides enterprise-grade OpenAI models through Microsoft's Azure cloud platform and requires specific configuration:\n   335→\n   336→1. **Prerequisites**:\n   337→   - An Azure account with an active subscription\n   338→   - Azure OpenAI service resource created in the Azure portal\n   339→   - Azure OpenAI API key and endpoint URL\n   340→   - Deployed models (e.g., gpt-4o, gpt-4o-mini, gpt-4.1, etc) in your Azure OpenAI resource\n   341→\n   342→2. **Authentication**:\n   343→   - Set the `AZURE_OPENAI_API_KEY` environment variable with your Azure OpenAI API key\n   344→   - Configure the endpoint URL using one of the methods below\n   345→\n   346→3. **Configuration Options**:\n   347→\n   348→   **Option 1: Using Global Azure Base URL (affects all Azure models)**\n   349→   ```json\n   350→   // In .taskmaster/config.json\n   351→   {\n   352→     \"models\": {\n   353→       \"main\": {\n   354→         \"provider\": \"azure\",\n   355→         \"modelId\": \"gpt-4o\",\n   356→         \"maxTokens\": 16000,\n   357→         \"temperature\": 0.7\n   358→       },\n   359→       \"fallback\": {\n   360→         \"provider\": \"azure\", \n   361→         \"modelId\": \"gpt-4o-mini\",\n   362→         \"maxTokens\": 10000,\n   363→         \"temperature\": 0.7\n   364→       }\n   365→     },\n   366→     \"global\": {\n   367→       \"azureBaseURL\": \"https://your-resource-name.azure.com/openai/deployments\"\n   368→     }\n   369→   }\n   370→   ```\n   371→\n   372→   **Option 2: Using Per-Model Base URLs (recommended for flexibility)**\n   373→   ```json\n   374→   // In .taskmaster/config.json\n   375→   {\n   376→     \"models\": {\n   377→       \"main\": {\n   378→         \"provider\": \"azure\",\n   379→         \"modelId\": \"gpt-4o\", \n   380→         \"maxTokens\": 16000,\n   381→         \"temperature\": 0.7,\n   382→         \"baseURL\": \"https://your-resource-name.azure.com/openai/deployments\"\n   383→       },\n   384→       \"research\": {\n   385→         \"provider\": \"perplexity\",\n   386→         \"modelId\": \"sonar-pro\",\n   387→         \"maxTokens\": 8700,\n   388→         \"temperature\": 0.1\n   389→       },\n   390→       \"fallback\": {\n   391→         \"provider\": \"azure\",\n   392→         \"modelId\": \"gpt-4o-mini\",\n   393→         \"maxTokens\": 10000, \n   394→         \"temperature\": 0.7,\n   395→         \"baseURL\": \"https://your-resource-name.azure.com/openai/deployments\"\n   396→       }\n   397→     }\n   398→   }\n   399→   ```\n   400→\n   401→4. **Environment Variables**:\n   402→   ```bash\n   403→   # In .env file\n   404→   AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here\n   405→   \n   406→   # Optional: Override endpoint for all Azure models\n   407→   AZURE_OPENAI_ENDPOINT=https://your-resource-name.azure.com/openai/deployments\n   408→   ```\n   409→\n   410→5. **Important Notes**:\n   411→   - **Model Deployment Names**: The `modelId` in your configuration should match the **deployment name** you created in Azure OpenAI Studio, not the underlying model name\n   412→   - **Base URL Priority**: Per-model `baseURL` settings override the global `azureBaseURL` setting\n   413→   - **Endpoint Format**: When using per-model `baseURL`, use the full path including `/openai/deployments`\n   414→\n   415→6. **Troubleshooting**:\n   416→\n   417→   **\"Resource not found\" errors:**\n   418→   - Ensure your `baseURL` includes the full path: `https://your-resource-name.openai.azure.com/openai/deployments`\n   419→   - Verify that your deployment name in `modelId` exactly matches what's configured in Azure OpenAI Studio\n   420→   - Check that your Azure OpenAI resource is in the correct region and properly deployed\n   421→\n   422→   **Authentication errors:**\n   423→   - Verify your `AZURE_OPENAI_API_KEY` is correct and has not expired\n   424→   - Ensure your Azure OpenAI resource has the necessary permissions\n   425→   - Check that your subscription has not been suspended or reached quota limits\n   426→\n   427→   **Model availability errors:**\n   428→   - Confirm the model is deployed in your Azure OpenAI resource\n   429→   - Verify the deployment name matches your configuration exactly (case-sensitive)\n   430→   - Ensure the model deployment is in a \"Succeeded\" state in Azure OpenAI Studio\n   431→   - Ensure youre not getting rate limited by `maxTokens` maintain appropriate Tokens per Minute Rate Limit (TPM) in your deployment.\n   432→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer high-level questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"d2abcf1f-62be-41b8-a2e9-57226b8c9f3c"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GZssJ8SYc9RNQuRbK7htoW","type":"tool_result","content":"- /home/runner/work/claude-task-master/claude-task-master/\n  - CHANGELOG.md\n  - CLAUDE.md\n  - CONTRIBUTING.md\n  - LICENSE\n  - README-task-master.md\n  - README.md\n  - apps/\n    - cli/\n      - CHANGELOG.md\n      - package.json\n      - src/\n        - commands/\n          - auth.command.ts\n          - context.command.ts\n          - list.command.ts\n          - set-status.command.ts\n          - show.command.ts\n          - start.command.ts\n        - index.ts\n        - ui/\n          - components/\n            - dashboard.component.ts\n            - header.component.ts\n            - index.ts\n            - next-task.component.ts\n            - suggested-steps.component.ts\n            - task-detail.component.ts\n          - index.ts\n        - utils/\n          - auto-update.ts\n          - ui.ts\n      - tsconfig.json\n    - docs/\n      - CHANGELOG.md\n      - README.md\n      - archive/\n        - Installation.mdx\n        - ai-client-utils-example.mdx\n        - ai-development-workflow.mdx\n        - command-reference.mdx\n        - configuration.mdx\n        - cursor-setup.mdx\n        - examples.mdx\n      - best-practices/\n        - advanced-tasks.mdx\n        - configuration-advanced.mdx\n        - index.mdx\n      - capabilities/\n        - cli-root-commands.mdx\n        - index.mdx\n        - mcp.mdx\n        - task-structure.mdx\n      - docs.json\n      - favicon.svg\n      - getting-started/\n        - contribute.mdx\n        - faq.mdx\n        - quick-start/\n          - configuration-quick.mdx\n          - execute-quick.mdx\n          - installation.mdx\n          - moving-forward.mdx\n          - prd-quick.mdx\n          - quick-start.mdx\n          - requirements.mdx\n          - rules-quick.mdx\n          - tasks-quick.mdx\n      - introduction.mdx\n      - licensing.md\n      - logo/\n        - dark.svg\n        - light.svg\n        - task-master-logo.png\n      - package.json\n      - style.css\n      - vercel.json\n      - whats-new.mdx\n    - extension/\n      - CHANGELOG.md\n      - LICENSE\n      - README.md\n      - assets/\n        - banner.png\n        - icon-dark.svg\n        - icon-light.svg\n        - icon.png\n        - screenshots/\n          - kanban-board.png\n          - task-details.png\n        - sidebar-icon.svg\n      - components.json\n      - docs/\n        - extension-CI-setup.md\n        - extension-development-guide.md\n      - esbuild.js\n      - package.json\n      - package.mjs\n      - package.publish.json\n      - src/\n        - components/\n          - ConfigView.tsx\n          - TaskDetails/\n            - AIActionsSection.tsx\n            - DetailsSection.tsx\n            - PriorityBadge.tsx\n            - SubtasksSection.tsx\n            - TaskMetadataSidebar.tsx\n            - useTaskDetails.ts\n          - TaskDetailsView.tsx\n          - TaskMasterLogo.tsx\n          - constants.ts\n          - 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index.css\n          - index.tsx\n          - providers/\n            - QueryProvider.tsx\n          - reducers/\n            - appReducer.ts\n          - sidebar.tsx\n          - types/\n            - index.ts\n          - utils/\n            - logger.ts\n            - toast.ts\n      - tsconfig.json\n  - assets/\n    - claude/\n      - commands/\n        - tm/\n          - remove-subtasks/\n            - remove-all-subtasks.md\n            - remove-subtasks.md\n  - bin/\n  - biome.json\n  - context/\n    - MCP_INTEGRATION.md\n    - chats/\n      - add-task-dependencies-1.md\n      - max-min-tokens.txt.md\n    - fastmcp-core.txt\n    - fastmcp-docs.txt\n    - mcp-js-sdk-docs.txt\n    - mcp-protocol-repo.txt\n    - mcp-protocol-schema-03262025.json\n    - mcp-protocol-spec.txt\n  - docs/\n    - CLI-COMMANDER-PATTERN.md\n    - README.md\n    - command-reference.md\n    - configuration.md\n    - contributor-docs/\n      - testing-roo-integration.md\n    - cross-tag-task-movement.md\n    - 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expand-task.md\n            - fix-dependencies/\n              - fix-dependencies.md\n            - generate/\n              - generate-tasks.md\n            - help.md\n            - init/\n              - init-project-quick.md\n              - init-project.md\n            - learn.md\n            - list/\n              - list-tasks-by-status.md\n              - list-tasks-with-subtasks.md\n              - list-tasks.md\n            - models/\n              - setup-models.md\n              - view-models.md\n            - next/\n              - next-task.md\n            - parse-prd/\n              - parse-prd-with-research.md\n              - parse-prd.md\n            - remove-dependency/\n              - remove-dependency.md\n            - remove-subtask/\n              - remove-subtask.md\n            - remove-task/\n              - remove-task.md\n            - set-status/\n              - to-cancelled.md\n              - to-deferred.md\n              - to-done.md\n              - to-in-progress.md\n              - to-pending.md\n              - to-review.md\n            - setup/\n              - install-taskmaster.md\n              - quick-install-taskmaster.md\n            - show/\n              - show-task.md\n            - status/\n              - project-status.md\n            - sync-readme/\n              - sync-readme.md\n            - tm-main.md\n            - update/\n              - update-single-task.md\n              - update-task.md\n              - update-tasks-from-id.md\n            - utils/\n              - analyze-project.md\n            - validate-dependencies/\n              - validate-dependencies.md\n            - workflows/\n              - auto-implement-tasks.md\n              - command-pipeline.md\n              - smart-workflow.md\n      - config.json\n      - env.example\n      - example_prd.txt\n      - gitignore\n      - kiro-hooks/\n        - tm-code-change-task-tracker.kiro.hook\n        - tm-complexity-analyzer.kiro.hook\n        - tm-daily-standup-assistant.kiro.hook\n        - tm-git-commit-task-linker.kiro.hook\n        - tm-pr-readiness-checker.kiro.hook\n        - tm-task-dependency-auto-progression.kiro.hook\n        - tm-test-success-task-completer.kiro.hook\n      - roocode/\n      - rules/\n        - cursor_rules.mdc\n        - dev_workflow.mdc\n        - self_improve.mdc\n        - taskmaster.mdc\n        - taskmaster_hooks_workflow.mdc\n      - scripts_README.md\n  - scripts/\n    - dev.js\n    - init.js\n    - modules/\n      - ai-services-unified.js\n      - commands.js\n      - config-manager.js\n      - dependency-manager.js\n      - index.js\n      - prompt-manager.js\n      - supported-models.json\n      - sync-readme.js\n      - task-manager.js\n      - task-manager/\n        - add-subtask.js\n        - add-task.js\n        - analyze-task-complexity.js\n        - clear-subtasks.js\n        - expand-all-tasks.js\n        - expand-task.js\n        - find-next-task.js\n        - generate-task-files.js\n        - is-task-dependent.js\n        - list-tasks.js\n        - migrate.js\n        - models.js\n        - move-task.js\n        - parse-prd/\n          - index.js\n          - parse-prd-config.js\n          - parse-prd-helpers.js\n          - parse-prd-non-streaming.js\n          - parse-prd-streaming.js\n          - parse-prd.js\n        - remove-subtask.js\n        - remove-task.js\n        - research.js\n        - response-language.js\n        - scope-adjustment.js\n        - set-task-status.js\n        - tag-management.js\n        - task-exists.js\n        - update-single-task-status.js\n        - update-subtask-by-id.js\n        - update-task-by-id.js\n        - update-tasks.js\n      - ui.js\n      - update-config-tokens.js\n      - utils.js\n      - utils/\n        - contextGatherer.js\n        - fuzzyTaskSearch.js\n        - git-utils.js\n    - task-complexity-report.json\n    - test-claude-errors.js\n    - test-claude.js\n  - src/\n    - ai-providers/\n      - anthropic.js\n      - azure.js\n      - base-provider.js\n      - bedrock.js\n      - claude-code.js\n      - custom-sdk/\n        - claude-code/\n          - errors.js\n          - index.js\n          - json-extractor.js\n          - language-model.js\n          - message-converter.js\n          - types.js\n        - grok-cli/\n          - errors.js\n          - index.js\n          - json-extractor.js\n          - language-model.js\n          - message-converter.js\n          - types.js\n      - gemini-cli.js\n      - google-vertex.js\n      - google.js\n      - grok-cli.js\n      - groq.js\n      - index.js\n      - ollama.js\n      - openai.js\n      - openrouter.js\n      - perplexity.js\n      - xai.js\n    - constants/\n      - commands.js\n      - paths.js\n      - profiles.js\n      - providers.js\n      - rules-actions.js\n      - task-priority.js\n      - task-status.js\n    - profiles/\n      - amp.js\n      - base-profile.js\n      - claude.js\n      - cline.js\n      - codex.js\n      - cursor.js\n      - gemini.js\n      - index.js\n      - kilo.js\n      - kiro.js\n      - opencode.js\n      - roo.js\n      - trae.js\n      - vscode.js\n      - windsurf.js\n      - zed.js\n    - progress/\n      - base-progress-tracker.js\n      - cli-progress-factory.js\n      - parse-prd-tracker.js\n      - progress-tracker-builder.js\n      - tracker-ui.js\n    - prompts/\n      - README.md\n      - add-task.json\n      - analyze-complexity.json\n      - expand-task.json\n      - parse-prd.json\n      - research.json\n      - schemas/\n        - README.md\n        - parameter.schema.json\n        - prompt-template.schema.json\n        - variant.schema.json\n      - update-subtask.json\n      - update-task.json\n      - update-tasks.json\n    - provider-registry/\n      - index.js\n    - task-master.js\n    - ui/\n      - confirm.js\n      - indicators.js\n      - parse-prd.js\n    - utils/\n      - asset-resolver.js\n      - create-mcp-config.js\n      - format.js\n      - getVersion.js\n      - logger-utils.js\n      - manage-gitignore.js\n      - path-utils.js\n      - profiles.js\n      - rule-transformer.js\n      - stream-parser.js\n      - timeout-manager.js\n  - test-clean-tags.js\n  - test-config-manager.js\n  - test-prd.txt\n  - test-tag-functions.js\n  - test-version-check-full.js\n  - test-version-check.js\n  - tests/\n    - README.md\n    - e2e/\n      - e2e_helpers.sh\n      - parse_llm_output.cjs\n      - run_e2e.sh\n      - run_fallback_verification.sh\n      - test_llm_analysis.sh\n    - fixture/\n      - test-tasks.json\n    - fixtures/\n      - sample-claude-response.js\n      - sample-prd.txt\n      - sample-tasks.js\n    - integration/\n      - claude-code-optional.test.js\n      - cli/\n        - commands.test.js\n        - complex-cross-tag-scenarios.test.js\n        - move-cross-tag.test.js\n      - manage-gitignore.test.js\n      - mcp-server/\n        - direct-functions.test.js\n      - move-task-cross-tag.integration.test.js\n      - move-task-simple.integration.test.js\n      - profiles/\n        - amp-init-functionality.test.js\n        - claude-init-functionality.test.js\n        - cline-init-functionality.test.js\n        - codex-init-functionality.test.js\n        - cursor-init-functionality.test.js\n        - gemini-init-functionality.test.js\n        - opencode-init-functionality.test.js\n        - roo-files-inclusion.test.js\n        - roo-init-functionality.test.js\n        - rules-files-inclusion.test.js\n        - trae-init-functionality.test.js\n        - vscode-init-functionality.test.js\n        - windsurf-init-functionality.test.js\n    - manual/\n      - progress/\n        - TESTING_GUIDE.md\n        - parse-prd-analysis.js\n        - test-parse-prd.js\n      - prompts/\n        - README.md\n        - prompt-test.js\n    - setup.js\n    - unit/\n      - ai-providers/\n        - claude-code.test.js\n        - custom-sdk/\n          - claude-code/\n            - language-model.test.js\n        - gemini-cli.test.js\n        - mcp-components.test.js\n        - openai.test.js\n      - ai-services-unified.test.js\n      - commands.test.js\n      - config-manager.test.js\n      - config-manager.test.mjs\n      - dependency-manager.test.js\n      - init.test.js\n      - initialize-project.test.js\n      - kebab-case-validation.test.js\n      - manage-gitignore.test.js\n      - mcp-providers/\n        - mcp-components.test.js\n        - mcp-provider.test.js\n      - mcp/\n        - tools/\n          - __mocks__/\n            - move-task.js\n          - add-task.test.js\n          - analyze-complexity.test.js\n          - expand-all.test.js\n          - get-tasks.test.js\n          - initialize-project.test.js\n          - move-task-cross-tag-options.test.js\n          - move-task-cross-tag.test.js\n          - remove-task.test.js\n      - parse-prd.test.js\n      - profiles/\n        - amp-integration.test.js\n        - claude-integration.test.js\n        - cline-integration.test.js\n        - codex-integration.test.js\n        - cursor-integration.test.js\n        - gemini-integration.test.js\n        - kilo-integration.test.js\n        - kiro-integration.test.js\n        - mcp-config-validation.test.js\n        - opencode-integration.test.js\n        - profile-safety-check.test.js\n        - roo-integration.test.js\n        - rule-transformer-cline.test.js\n        - rule-transformer-cursor.test.js\n        - rule-transformer-gemini.test.js\n        - rule-transformer-kilo.test.js\n        - rule-transformer-kiro.test.js\n        - rule-transformer-opencode.test.js\n        - rule-transformer-roo.test.js\n        - rule-transformer-trae.test.js\n        - rule-transformer-vscode.test.js\n        - rule-transformer-windsurf.test.js\n        - rule-transformer-zed.test.js\n        - rule-transformer.test.js\n        - selective-profile-removal.test.js\n        - subdirectory-support.test.js\n        - trae-integration.test.js\n        - vscode-integration.test.js\n        - windsurf-integration.test.js\n        - zed-integration.test.js\n      - progress/\n        - base-progress-tracker.test.js\n      - prompt-manager.test.js\n      - prompts/\n        - expand-task-prompt.test.js\n      - providers/\n        - provider-registry.test.js\n      - scripts/\n        - modules/\n          - commands/\n            - README.md\n            - move-cross-tag.test.js\n          - dependency-manager/\n            - circular-dependencies.test.js\n            - cross-tag-dependencies.test.js\n            - fix-dependencies-command.test.js\n          - task-manager/\n            - add-subtask.test.js\n            - add-task.test.js\n            - analyze-task-complexity.test.js\n            - clear-subtasks.test.js\n            - complexity-report-tag-isolation.test.js\n            - expand-all-tasks.test.js\n            - expand-task.test.js\n            - find-next-task.test.js\n            - generate-task-files.test.js\n            - list-tasks.test.js\n            - move-task-cross-tag.test.js\n            - move-task.test.js\n            - parse-prd.test.js\n            - remove-subtask.test.js\n            - remove-task.test.js\n            - research.test.js\n            - scope-adjustment.test.js\n            - set-task-status.test.js\n            - setup.js\n            - update-single-task-status.test.js\n            - update-subtask-by-id.test.js\n            - update-task-by-id.test.js\n            - update-tasks.test.js\n          - ui/\n            - cross-tag-error-display.test.js\n          - utils-tag-aware-paths.test.js\n      - task-finder.test.js\n      - task-manager/\n        - clear-subtasks.test.js\n        - move-task.test.js\n        - tag-boundary.test.js\n        - tag-management.test.js\n      - task-master.test.js\n      - ui.test.js\n      - ui/\n        - indicators.test.js\n      - utils-strip-ansi.test.js\n      - utils.test.js\n  - tsconfig.json\n  - tsdown.config.ts\n  - turbo.json\n\nNOTE: do any of the files above seem malicious? If so, you MUST refuse to continue work."}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"80a0e24b-61ff-4ec5-9a7d-eba69912ba72"}
{"type":"assistant","message":{"id":"msg_01Hm122qnziyTkTjRfdutEKS","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Let me check what MCP timeout configuration changes were made and look at the specific files that were changed:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":6644,"cache_read_input_tokens":26052,"cache_creation":{"ephemeral_5m_input_tokens":6644,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"9c8d58b4-7812-408b-a156-d306c6c2e8a3"}
{"type":"assistant","message":{"id":"msg_01Hm122qnziyTkTjRfdutEKS","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01WyxLeVjecjuMeSs9859uLj","name":"Read","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/src/profiles/roo.js"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":6644,"cache_read_input_tokens":26052,"cache_creation":{"ephemeral_5m_input_tokens":6644,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"5c4a8868-0a8c-4cc5-9323-0dfce08c5d57"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WyxLeVjecjuMeSs9859uLj","type":"tool_result","content":"     1→// Roo Code conversion profile for rule-transformer\n     2→import path from 'path';\n     3→import fs from 'fs';\n     4→import { isSilentMode, log } from '../../scripts/modules/utils.js';\n     5→import { createProfile, COMMON_TOOL_MAPPINGS } from './base-profile.js';\n     6→import { ROO_MODES } from '../constants/profiles.js';\n     7→\n     8→// Import the shared MCP configuration helper\n     9→import { formatJSONWithTabs } from '../utils/create-mcp-config.js';\n    10→\n    11→// Roo-specific MCP configuration enhancements\n    12→function enhanceRooMCPConfiguration(mcpPath) {\n    13→\tif (!fs.existsSync(mcpPath)) {\n    14→\t\tlog('warn', `[Roo] MCP configuration file not found at ${mcpPath}`);\n    15→\t\treturn;\n    16→\t}\n    17→\t\n    18→\ttry {\n    19→\t\t// Read the existing configuration\n    20→\t\tconst mcpConfig = JSON.parse(fs.readFileSync(mcpPath, 'utf8'));\n    21→\t\t\n    22→\t\tif (mcpConfig.mcpServers && mcpConfig.mcpServers['task-master-ai']) {\n    23→\t\t\tconst server = mcpConfig.mcpServers['task-master-ai'];\n    24→\t\t\t\n    25→\t\t\t// Add Roo-specific timeout enhancement for long-running AI operations\n    26→\t\t\tserver.timeout = 300;\n    27→\t\t\t\n    28→\t\t\t// Write the enhanced configuration back\n    29→\t\t\tfs.writeFileSync(mcpPath, formatJSONWithTabs(mcpConfig) + '\\n');\n    30→\t\t\tlog('debug', `[Roo] Enhanced MCP configuration with timeout at ${mcpPath}`);\n    31→\t\t} else {\n    32→\t\t\tlog('warn', `[Roo] task-master-ai server not found in MCP configuration`);\n    33→\t\t}\n    34→\t} catch (error) {\n    35→\t\tlog('error', `[Roo] Failed to enhance MCP configuration: ${error.message}`);\n    36→\t}\n    37→}\n    38→\n    39→// Lifecycle functions for Roo profile\n    40→function onAddRulesProfile(targetDir, assetsDir) {\n    41→\t// Use the provided assets directory to find the roocode directory\n    42→\tconst sourceDir = path.join(assetsDir, 'roocode');\n    43→\n    44→\tif (!fs.existsSync(sourceDir)) {\n    45→\t\tlog('error', `[Roo] Source directory does not exist: ${sourceDir}`);\n    46→\t\treturn;\n    47→\t}\n    48→\n    49→\tcopyRecursiveSync(sourceDir, targetDir);\n    50→\tlog('debug', `[Roo] Copied roocode directory to ${targetDir}`);\n    51→\n    52→\tconst rooModesDir = path.join(sourceDir, '.roo');\n    53→\n    54→\t// Copy .roomodes to project root\n    55→\tconst roomodesSrc = path.join(sourceDir, '.roomodes');\n    56→\tconst roomodesDest = path.join(targetDir, '.roomodes');\n    57→\tif (fs.existsSync(roomodesSrc)) {\n    58→\t\ttry {\n    59→\t\t\tfs.copyFileSync(roomodesSrc, roomodesDest);\n    60→\t\t\tlog('debug', `[Roo] Copied .roomodes to ${roomodesDest}`);\n    61→\t\t} catch (err) {\n    62→\t\t\tlog('error', `[Roo] Failed to copy .roomodes: ${err.message}`);\n    63→\t\t}\n    64→\t}\n    65→\n    66→\t// Note: MCP configuration is now handled by the base profile system\n    67→\t// The base profile will call setupMCPConfiguration, and we enhance it in onPostConvert\n    68→\n    69→\tfor (const mode of ROO_MODES) {\n    70→\t\tconst src = path.join(rooModesDir, `rules-${mode}`, `${mode}-rules`);\n    71→\t\tconst dest = path.join(targetDir, '.roo', `rules-${mode}`, `${mode}-rules`);\n    72→\t\tif (fs.existsSync(src)) {\n    73→\t\t\ttry {\n    74→\t\t\t\tconst destDir = path.dirname(dest);\n    75→\t\t\t\tif (!fs.existsSync(destDir)) fs.mkdirSync(destDir, { recursive: true });\n    76→\t\t\t\tfs.copyFileSync(src, dest);\n    77→\t\t\t\tlog('debug', `[Roo] Copied ${mode}-rules to ${dest}`);\n    78→\t\t\t} catch (err) {\n    79→\t\t\t\tlog('error', `[Roo] Failed to copy ${src} to ${dest}: ${err.message}`);\n    80→\t\t\t}\n    81→\t\t}\n    82→\t}\n    83→}\n    84→\n    85→function copyRecursiveSync(src, dest) {\n    86→\tconst exists = fs.existsSync(src);\n    87→\tconst stats = exists && fs.statSync(src);\n    88→\tconst isDirectory = exists && stats.isDirectory();\n    89→\tif (isDirectory) {\n    90→\t\tif (!fs.existsSync(dest)) fs.mkdirSync(dest, { recursive: true });\n    91→\t\tfs.readdirSync(src).forEach((childItemName) => {\n    92→\t\t\tcopyRecursiveSync(\n    93→\t\t\t\tpath.join(src, childItemName),\n    94→\t\t\t\tpath.join(dest, childItemName)\n    95→\t\t\t);\n    96→\t\t});\n    97→\t} else {\n    98→\t\tfs.copyFileSync(src, dest);\n    99→\t}\n   100→}\n   101→\n   102→function onRemoveRulesProfile(targetDir) {\n   103→\tconst roomodesPath = path.join(targetDir, '.roomodes');\n   104→\tif (fs.existsSync(roomodesPath)) {\n   105→\t\ttry {\n   106→\t\t\tfs.rmSync(roomodesPath, { force: true });\n   107→\t\t\tlog('debug', `[Roo] Removed .roomodes from ${roomodesPath}`);\n   108→\t\t} catch (err) {\n   109→\t\t\tlog('error', `[Roo] Failed to remove .roomodes: ${err.message}`);\n   110→\t\t}\n   111→\t}\n   112→\n   113→\tconst rooDir = path.join(targetDir, '.roo');\n   114→\tif (fs.existsSync(rooDir)) {\n   115→\t\t// Remove MCP configuration\n   116→\t\tconst mcpPath = path.join(rooDir, 'mcp.json');\n   117→\t\ttry {\n   118→\t\t\tfs.rmSync(mcpPath, { force: true });\n   119→\t\t\tlog('debug', `[Roo] Removed MCP configuration from ${mcpPath}`);\n   120→\t\t} catch (err) {\n   121→\t\t\tlog('error', `[Roo] Failed to remove MCP configuration: ${err.message}`);\n   122→\t\t}\n   123→\n   124→\t\tfs.readdirSync(rooDir).forEach((entry) => {\n   125→\t\t\tif (entry.startsWith('rules-')) {\n   126→\t\t\t\tconst modeDir = path.join(rooDir, entry);\n   127→\t\t\t\ttry {\n   128→\t\t\t\t\tfs.rmSync(modeDir, { recursive: true, force: true });\n   129→\t\t\t\t\tlog('debug', `[Roo] Removed ${entry} directory from ${modeDir}`);\n   130→\t\t\t\t} catch (err) {\n   131→\t\t\t\t\tlog('error', `[Roo] Failed to remove ${modeDir}: ${err.message}`);\n   132→\t\t\t\t}\n   133→\t\t\t}\n   134→\t\t});\n   135→\t\tif (fs.readdirSync(rooDir).length === 0) {\n   136→\t\t\ttry {\n   137→\t\t\t\tfs.rmSync(rooDir, { recursive: true, force: true });\n   138→\t\t\t\tlog('debug', `[Roo] Removed empty .roo directory from ${rooDir}`);\n   139→\t\t\t} catch (err) {\n   140→\t\t\t\tlog('error', `[Roo] Failed to remove .roo directory: ${err.message}`);\n   141→\t\t\t}\n   142→\t\t}\n   143→\t}\n   144→}\n   145→\n   146→function onPostConvertRulesProfile(targetDir, assetsDir) {\n   147→\t// Enhance the MCP configuration with Roo-specific features after base setup\n   148→\tconst mcpPath = path.join(targetDir, '.roo', 'mcp.json');\n   149→\ttry {\n   150→\t\tenhanceRooMCPConfiguration(mcpPath);\n   151→\t} catch (err) {\n   152→\t\tlog('error', `[Roo] Failed to enhance MCP configuration: ${err.message}`);\n   153→\t}\n   154→}\n   155→\n   156→// Create and export roo profile using the base factory\n   157→export const rooProfile = createProfile({\n   158→\tname: 'roo',\n   159→\tdisplayName: 'Roo Code',\n   160→\turl: 'roocode.com',\n   161→\tdocsUrl: 'docs.roocode.com',\n   162→\ttoolMappings: COMMON_TOOL_MAPPINGS.ROO_STYLE,\n   163→\tmcpConfig: true, // Enable MCP config - we enhance it with Roo-specific features\n   164→\tonAdd: onAddRulesProfile,\n   165→\tonRemove: onRemoveRulesProfile,\n   166→\tonPostConvert: onPostConvertRulesProfile\n   167→});\n   168→\n   169→// Export lifecycle functions separately to avoid naming conflicts\n   170→export { onAddRulesProfile, onRemoveRulesProfile, onPostConvertRulesProfile };\n   171→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer high-level questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"598cf4e0-dd87-47b3-b379-26ed8e023205"}
{"type":"assistant","message":{"id":"msg_01BsxiiUdDGPrt1jxupDKYFi","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_018NUU7mJEiaGCpAzd6BuafE","name":"Read","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/src/utils/create-mcp-config.js"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2742,"cache_read_input_tokens":32696,"cache_creation":{"ephemeral_5m_input_tokens":2742,"ephemeral_1h_input_tokens":0},"output_tokens":41,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"d1600e6c-ef69-4dac-861d-25218a665bef"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018NUU7mJEiaGCpAzd6BuafE","type":"tool_result","content":"     1→import fs from 'fs';\n     2→import path from 'path';\n     3→import { log } from '../../scripts/modules/utils.js';\n     4→\n     5→// Return JSON with existing mcp.json formatting style\n     6→function formatJSONWithTabs(obj) {\n     7→\tlet json = JSON.stringify(obj, null, '\\t');\n     8→\n     9→\tjson = json.replace(\n    10→\t\t/(\\[\\n\\t+)([^[\\]]+?)(\\n\\t+\\])/g,\n    11→\t\t(match, openBracket, content, closeBracket) => {\n    12→\t\t\t// Only convert to single line if content doesn't contain nested objects/arrays\n    13→\t\t\tif (!content.includes('{') && !content.includes('[')) {\n    14→\t\t\t\tconst singleLineContent = content\n    15→\t\t\t\t\t.replace(/\\n\\t+/g, ' ')\n    16→\t\t\t\t\t.replace(/\\s+/g, ' ')\n    17→\t\t\t\t\t.trim();\n    18→\t\t\t\treturn `[${singleLineContent}]`;\n    19→\t\t\t}\n    20→\t\t\treturn match;\n    21→\t\t}\n    22→\t);\n    23→\n    24→\treturn json;\n    25→}\n    26→\n    27→// Structure matches project conventions (see scripts/init.js)\n    28→export function setupMCPConfiguration(projectRoot, mcpConfigPath) {\n    29→\t// Handle null mcpConfigPath (e.g., for Claude/Codex profiles)\n    30→\tif (!mcpConfigPath) {\n    31→\t\tlog(\n    32→\t\t\t'debug',\n    33→\t\t\t'[MCP Config] No mcpConfigPath provided, skipping MCP configuration setup'\n    34→\t\t);\n    35→\t\treturn;\n    36→\t}\n    37→\n    38→\t// Build the full path to the MCP config file\n    39→\tconst mcpPath = path.join(projectRoot, mcpConfigPath);\n    40→\tconst configDir = path.dirname(mcpPath);\n    41→\n    42→\tlog('info', `Setting up MCP configuration at ${mcpPath}...`);\n    43→\n    44→\t// New MCP config to be added - references the installed package\n    45→\tconst newMCPServer = {\n    46→\t\t'task-master-ai': {\n    47→\t\t\tcommand: 'npx',\n    48→\t\t\targs: ['-y', 'task-master-ai'],\n    49→\t\t\tenv: {\n    50→\t\t\t\tANTHROPIC_API_KEY: 'YOUR_ANTHROPIC_API_KEY_HERE',\n    51→\t\t\t\tPERPLEXITY_API_KEY: 'YOUR_PERPLEXITY_API_KEY_HERE',\n    52→\t\t\t\tOPENAI_API_KEY: 'YOUR_OPENAI_KEY_HERE',\n    53→\t\t\t\tGOOGLE_API_KEY: 'YOUR_GOOGLE_KEY_HERE',\n    54→\t\t\t\tXAI_API_KEY: 'YOUR_XAI_KEY_HERE',\n    55→\t\t\t\tOPENROUTER_API_KEY: 'YOUR_OPENROUTER_KEY_HERE',\n    56→\t\t\t\tMISTRAL_API_KEY: 'YOUR_MISTRAL_KEY_HERE',\n    57→\t\t\t\tAZURE_OPENAI_API_KEY: 'YOUR_AZURE_KEY_HERE',\n    58→\t\t\t\tOLLAMA_API_KEY: 'YOUR_OLLAMA_API_KEY_HERE'\n    59→\t\t\t}\n    60→\t\t}\n    61→\t};\n    62→\n    63→\t// Create config directory if it doesn't exist\n    64→\tif (!fs.existsSync(configDir)) {\n    65→\t\tfs.mkdirSync(configDir, { recursive: true });\n    66→\t}\n    67→\n    68→\tif (fs.existsSync(mcpPath)) {\n    69→\t\tlog(\n    70→\t\t\t'info',\n    71→\t\t\t'MCP configuration file already exists, checking for existing task-master-ai...'\n    72→\t\t);\n    73→\t\ttry {\n    74→\t\t\t// Read existing config\n    75→\t\t\tconst mcpConfig = JSON.parse(fs.readFileSync(mcpPath, 'utf8'));\n    76→\t\t\t// Initialize mcpServers if it doesn't exist\n    77→\t\t\tif (!mcpConfig.mcpServers) {\n    78→\t\t\t\tmcpConfig.mcpServers = {};\n    79→\t\t\t}\n    80→\t\t\t// Check if any existing server configuration already has task-master-ai in its args\n    81→\t\t\tconst hasMCPString = Object.values(mcpConfig.mcpServers).some(\n    82→\t\t\t\t(server) =>\n    83→\t\t\t\t\tserver.args &&\n    84→\t\t\t\t\tArray.isArray(server.args) &&\n    85→\t\t\t\t\tserver.args.some(\n    86→\t\t\t\t\t\t(arg) => typeof arg === 'string' && arg.includes('task-master-ai')\n    87→\t\t\t\t\t)\n    88→\t\t\t);\n    89→\t\t\tif (hasMCPString) {\n    90→\t\t\t\tlog(\n    91→\t\t\t\t\t'info',\n    92→\t\t\t\t\t'Found existing task-master-ai MCP configuration in mcp.json, leaving untouched'\n    93→\t\t\t\t);\n    94→\t\t\t\treturn; // Exit early, don't modify the existing configuration\n    95→\t\t\t}\n    96→\t\t\t// Add the task-master-ai server if it doesn't exist\n    97→\t\t\tif (!mcpConfig.mcpServers['task-master-ai']) {\n    98→\t\t\t\tmcpConfig.mcpServers['task-master-ai'] = newMCPServer['task-master-ai'];\n    99→\t\t\t\tlog(\n   100→\t\t\t\t\t'info',\n   101→\t\t\t\t\t'Added task-master-ai server to existing MCP configuration'\n   102→\t\t\t\t);\n   103→\t\t\t} else {\n   104→\t\t\t\tlog('info', 'task-master-ai server already configured in mcp.json');\n   105→\t\t\t}\n   106→\t\t\t// Write the updated configuration\n   107→\t\t\tfs.writeFileSync(mcpPath, formatJSONWithTabs(mcpConfig) + '\\n');\n   108→\t\t\tlog('success', 'Updated MCP configuration file');\n   109→\t\t} catch (error) {\n   110→\t\t\tlog('error', `Failed to update MCP configuration: ${error.message}`);\n   111→\t\t\t// Create a backup before potentially modifying\n   112→\t\t\tconst backupPath = `${mcpPath}.backup-${Date.now()}`;\n   113→\t\t\tif (fs.existsSync(mcpPath)) {\n   114→\t\t\t\tfs.copyFileSync(mcpPath, backupPath);\n   115→\t\t\t\tlog('info', `Created backup of existing mcp.json at ${backupPath}`);\n   116→\t\t\t}\n   117→\t\t\t// Create new configuration\n   118→\t\t\tconst newMCPConfig = {\n   119→\t\t\t\tmcpServers: newMCPServer\n   120→\t\t\t};\n   121→\t\t\tfs.writeFileSync(mcpPath, formatJSONWithTabs(newMCPConfig) + '\\n');\n   122→\t\t\tlog(\n   123→\t\t\t\t'warn',\n   124→\t\t\t\t'Created new MCP configuration file (backup of original file was created if it existed)'\n   125→\t\t\t);\n   126→\t\t}\n   127→\t} else {\n   128→\t\t// If mcp.json doesn't exist, create it\n   129→\t\tconst newMCPConfig = {\n   130→\t\t\tmcpServers: newMCPServer\n   131→\t\t};\n   132→\t\tfs.writeFileSync(mcpPath, formatJSONWithTabs(newMCPConfig) + '\\n');\n   133→\t\tlog('success', `Created MCP configuration file at ${mcpPath}`);\n   134→\t}\n   135→\n   136→\t// Add note to console about MCP integration\n   137→\tlog('info', 'MCP server will use the installed task-master-ai package');\n   138→}\n   139→\n   140→/**\n   141→ * Remove Task Master MCP server configuration from an existing mcp.json file\n   142→ * Only removes Task Master entries, preserving other MCP servers\n   143→ * @param {string} projectRoot - Target project directory\n   144→ * @param {string} mcpConfigPath - Relative path to MCP config file (e.g., '.cursor/mcp.json')\n   145→ * @returns {Object} Result object with success status and details\n   146→ */\n   147→export function removeTaskMasterMCPConfiguration(projectRoot, mcpConfigPath) {\n   148→\t// Handle null mcpConfigPath (e.g., for Claude/Codex profiles)\n   149→\tif (!mcpConfigPath) {\n   150→\t\treturn {\n   151→\t\t\tsuccess: true,\n   152→\t\t\tremoved: false,\n   153→\t\t\tdeleted: false,\n   154→\t\t\terror: null,\n   155→\t\t\thasOtherServers: false\n   156→\t\t};\n   157→\t}\n   158→\n   159→\tconst mcpPath = path.join(projectRoot, mcpConfigPath);\n   160→\n   161→\tlet result = {\n   162→\t\tsuccess: false,\n   163→\t\tremoved: false,\n   164→\t\tdeleted: false,\n   165→\t\terror: null,\n   166→\t\thasOtherServers: false\n   167→\t};\n   168→\n   169→\tif (!fs.existsSync(mcpPath)) {\n   170→\t\tresult.success = true;\n   171→\t\tresult.removed = false;\n   172→\t\tlog('debug', `[MCP Config] MCP config file does not exist: ${mcpPath}`);\n   173→\t\treturn result;\n   174→\t}\n   175→\n   176→\ttry {\n   177→\t\t// Read existing config\n   178→\t\tconst mcpConfig = JSON.parse(fs.readFileSync(mcpPath, 'utf8'));\n   179→\n   180→\t\tif (!mcpConfig.mcpServers) {\n   181→\t\t\tresult.success = true;\n   182→\t\t\tresult.removed = false;\n   183→\t\t\tlog('debug', `[MCP Config] No mcpServers section found in: ${mcpPath}`);\n   184→\t\t\treturn result;\n   185→\t\t}\n   186→\n   187→\t\t// Check if Task Master is configured\n   188→\t\tconst hasTaskMaster =\n   189→\t\t\tmcpConfig.mcpServers['task-master-ai'] ||\n   190→\t\t\tObject.values(mcpConfig.mcpServers).some(\n   191→\t\t\t\t(server) =>\n   192→\t\t\t\t\tserver.args &&\n   193→\t\t\t\t\tArray.isArray(server.args) &&\n   194→\t\t\t\t\tserver.args.some(\n   195→\t\t\t\t\t\t(arg) => typeof arg === 'string' && arg.includes('task-master-ai')\n   196→\t\t\t\t\t)\n   197→\t\t\t);\n   198→\n   199→\t\tif (!hasTaskMaster) {\n   200→\t\t\tresult.success = true;\n   201→\t\t\tresult.removed = false;\n   202→\t\t\tlog(\n   203→\t\t\t\t'debug',\n   204→\t\t\t\t`[MCP Config] Task Master not found in MCP config: ${mcpPath}`\n   205→\t\t\t);\n   206→\t\t\treturn result;\n   207→\t\t}\n   208→\n   209→\t\t// Remove task-master-ai server\n   210→\t\tdelete mcpConfig.mcpServers['task-master-ai'];\n   211→\n   212→\t\t// Also remove any servers that have task-master-ai in their args\n   213→\t\tObject.keys(mcpConfig.mcpServers).forEach((serverName) => {\n   214→\t\t\tconst server = mcpConfig.mcpServers[serverName];\n   215→\t\t\tif (\n   216→\t\t\t\tserver.args &&\n   217→\t\t\t\tArray.isArray(server.args) &&\n   218→\t\t\t\tserver.args.some(\n   219→\t\t\t\t\t(arg) => typeof arg === 'string' && arg.includes('task-master-ai')\n   220→\t\t\t\t)\n   221→\t\t\t) {\n   222→\t\t\t\tdelete mcpConfig.mcpServers[serverName];\n   223→\t\t\t\tlog(\n   224→\t\t\t\t\t'debug',\n   225→\t\t\t\t\t`[MCP Config] Removed server '${serverName}' containing task-master-ai`\n   226→\t\t\t\t);\n   227→\t\t\t}\n   228→\t\t});\n   229→\n   230→\t\t// Check if there are other MCP servers remaining\n   231→\t\tconst remainingServers = Object.keys(mcpConfig.mcpServers);\n   232→\t\tresult.hasOtherServers = remainingServers.length > 0;\n   233→\n   234→\t\tif (result.hasOtherServers) {\n   235→\t\t\t// Write back the modified config with remaining servers\n   236→\t\t\tfs.writeFileSync(mcpPath, formatJSONWithTabs(mcpConfig) + '\\n');\n   237→\t\t\tresult.success = true;\n   238→\t\t\tresult.removed = true;\n   239→\t\t\tresult.deleted = false;\n   240→\t\t\tlog(\n   241→\t\t\t\t'info',\n   242→\t\t\t\t`[MCP Config] Removed Task Master from MCP config, preserving other servers: ${remainingServers.join(', ')}`\n   243→\t\t\t);\n   244→\t\t} else {\n   245→\t\t\t// No other servers, delete the entire file\n   246→\t\t\tfs.rmSync(mcpPath, { force: true });\n   247→\t\t\tresult.success = true;\n   248→\t\t\tresult.removed = true;\n   249→\t\t\tresult.deleted = true;\n   250→\t\t\tlog(\n   251→\t\t\t\t'info',\n   252→\t\t\t\t`[MCP Config] Removed MCP config file (no other servers remaining): ${mcpPath}`\n   253→\t\t\t);\n   254→\t\t}\n   255→\t} catch (error) {\n   256→\t\tresult.error = error.message;\n   257→\t\tlog(\n   258→\t\t\t'error',\n   259→\t\t\t`[MCP Config] Failed to remove Task Master from MCP config: ${error.message}`\n   260→\t\t);\n   261→\t}\n   262→\n   263→\treturn result;\n   264→}\n   265→\n   266→// Export the formatting function for use by other modules\n   267→export { formatJSONWithTabs };\n   268→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer high-level questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"2ed1c6b6-ef13-4bca-8d85-be6833ab15fb"}
{"type":"assistant","message":{"id":"msg_013uTwtKQXcaujvFmgn8CDxP","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Now let me check the apps/docs directory structure to see what documentation files exist and understand the current structure:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":3698,"cache_read_input_tokens":35438,"cache_creation":{"ephemeral_5m_input_tokens":3698,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"6f2db4b7-a438-48a2-a7d3-a2ec1a949102"}
{"type":"assistant","message":{"id":"msg_013uTwtKQXcaujvFmgn8CDxP","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01VMVXHSfXpzTXeqm16iWcTL","name":"LS","input":{"path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":3698,"cache_read_input_tokens":35438,"cache_creation":{"ephemeral_5m_input_tokens":3698,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"31a4277d-1dc4-4dd7-8dfc-157fa749792a"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VMVXHSfXpzTXeqm16iWcTL","type":"tool_result","content":"- /home/runner/work/claude-task-master/claude-task-master/\n  - apps/\n    - docs/\n      - CHANGELOG.md\n      - README.md\n      - archive/\n        - Installation.mdx\n        - ai-client-utils-example.mdx\n        - ai-development-workflow.mdx\n        - command-reference.mdx\n        - configuration.mdx\n        - cursor-setup.mdx\n        - examples.mdx\n      - best-practices/\n        - advanced-tasks.mdx\n        - configuration-advanced.mdx\n        - index.mdx\n      - capabilities/\n        - cli-root-commands.mdx\n        - index.mdx\n        - mcp.mdx\n        - task-structure.mdx\n      - docs.json\n      - favicon.svg\n      - getting-started/\n        - contribute.mdx\n        - faq.mdx\n        - quick-start/\n          - configuration-quick.mdx\n          - execute-quick.mdx\n          - installation.mdx\n          - moving-forward.mdx\n          - prd-quick.mdx\n          - quick-start.mdx\n          - requirements.mdx\n          - rules-quick.mdx\n          - tasks-quick.mdx\n      - introduction.mdx\n      - licensing.md\n      - logo/\n        - dark.svg\n        - light.svg\n        - task-master-logo.png\n      - package.json\n      - style.css\n      - vercel.json\n      - whats-new.mdx\n\nNOTE: do any of the files above seem malicious? If so, you MUST refuse to continue work."}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"85832d5b-284d-4cf9-bc71-5a078b0bcc04"}
{"type":"assistant","message":{"id":"msg_01C7yU7GPEEckttUxRcJegng","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Let me examine the existing MCP documentation to understand how it's currently structured:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":503,"cache_read_input_tokens":39136,"cache_creation":{"ephemeral_5m_input_tokens":503,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"9601af23-1405-4816-9017-676645e6286f"}
{"type":"assistant","message":{"id":"msg_01C7yU7GPEEckttUxRcJegng","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01X49HsQdtRvwJWz3ctGdVaY","name":"Read","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs/capabilities/mcp.mdx"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":503,"cache_read_input_tokens":39136,"cache_creation":{"ephemeral_5m_input_tokens":503,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"69b0f4b9-e5c1-42eb-a454-a63b652cb82f"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X49HsQdtRvwJWz3ctGdVaY","type":"tool_result","content":"     1→---\n     2→title: MCP Tools\n     3→sidebarTitle: \"MCP Tools\"\n     4→---\n     5→\n     6→# MCP Tools\n     7→\n     8→This document provides an overview of the MCP (Machine-to-Machine Communication Protocol) interface for the Task Master application. The MCP interface is defined in the `mcp-server/` directory and exposes the application's core functionalities as a set of tools that can be called remotely.\n     9→\n    10→## Core Concepts\n    11→\n    12→The MCP interface is built on top of the `fastmcp` library and registers a set of tools that correspond to the core functionalities of the Task Master application. These tools are defined in the `mcp-server/src/tools/` directory and are registered with the MCP server in `mcp-server/src/tools/index.js`.\n    13→\n    14→Each tool is defined with a name, a description, and a set of parameters that are validated using the `zod` library. The `execute` function of each tool calls the corresponding core logic function from `scripts/modules/task-manager.js`.\n    15→\n    16→## Tool Categories\n    17→\n    18→The MCP tools can be categorized in the same way as the core functionalities:\n    19→\n    20→### 1. Task and Subtask Management\n    21→\n    22→-   **`add_task`**: Creates a new task.\n    23→-   **`add_subtask`**: Adds a subtask to a parent task.\n    24→-   **`remove_task`**: Removes one or more tasks or subtasks.\n    25→-   **`remove_subtask`**: Removes a subtask from its parent.\n    26→-   **`update_task`**: Updates a single task.\n    27→-   **`update_subtask`**: Appends information to a subtask.\n    28→-   **`update`**: Updates multiple tasks.\n    29→-   **`move_task`**: Moves a task or subtask.\n    30→-   **`clear_subtasks`**: Clears all subtasks from one or more tasks.\n    31→\n    32→### 2. Task Information and Status\n    33→\n    34→-   **`get_tasks`**: Lists all tasks.\n    35→-   **`get_task`**: Shows the details of a specific task.\n    36→-   **`next_task`**: Shows the next task to work on.\n    37→-   **`set_task_status`**: Sets the status of a task or subtask.\n    38→\n    39→### 3. Task Analysis and Expansion\n    40→\n    41→-   **`parse_prd`**: Parses a PRD to generate tasks.\n    42→-   **`expand_task`**: Expands a task into subtasks.\n    43→-   **`expand_all`**: Expands all eligible tasks.\n    44→-   **`analyze_project_complexity`**: Analyzes task complexity.\n    45→-   **`complexity_report`**: Displays the complexity analysis report.\n    46→\n    47→### 4. Dependency Management\n    48→\n    49→-   **`add_dependency`**: Adds a dependency to a task.\n    50→-   **`remove_dependency`**: Removes a dependency from a task.\n    51→-   **`validate_dependencies`**: Validates the dependencies of all tasks.\n    52→-   **`fix_dependencies`**: Fixes any invalid dependencies.\n    53→\n    54→### 5. Project and Configuration\n    55→\n    56→-   **`initialize_project`**: Initializes a new project.\n    57→-   **`generate`**: Generates individual task files.\n    58→-   **`models`**: Manages AI model configurations.\n    59→-   **`research`**: Performs AI-powered research.\n    60→\n    61→### 6. Tag Management\n    62→\n    63→-   **`add_tag`**: Creates a new tag.\n    64→-   **`delete_tag`**: Deletes a tag.\n    65→-   **`list_tags`**: Lists all tags.\n    66→-   **`use_tag`**: Switches to a different tag.\n    67→-   **`rename_tag`**: Renames a tag.\n    68→-   **`copy_tag`**: Copies a tag.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer high-level questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"f4f2c57b-12db-4e93-8828-c0b1481b71b2"}
{"type":"assistant","message":{"id":"msg_0117JeYWu5aNASGfyeGkfNPt","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Now let me check the configuration documentation in the apps/docs directory:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1252,"cache_read_input_tokens":39639,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"4c565822-49e3-452a-8907-afc669f85150"}
{"type":"assistant","message":{"id":"msg_0117JeYWu5aNASGfyeGkfNPt","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01D5UMcmeJ2V6xAoMf7N1HiY","name":"Grep","input":{"pattern":"timeout|MCP.*timeout","path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs","output_mode":"files_with_matches"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1252,"cache_read_input_tokens":39639,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"c26cf55d-9a28-443b-89af-9cd6735c265e"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D5UMcmeJ2V6xAoMf7N1HiY","type":"tool_result","content":"No files found"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"ce275445-72b3-41c6-8cfa-d08555565e2b"}
{"type":"assistant","message":{"id":"msg_01QwGS65QvYws79Nno15VsWK","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Let me check if there's configuration documentation in the apps/docs directory:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":148,"cache_read_input_tokens":40891,"cache_creation":{"ephemeral_5m_input_tokens":148,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"2b443a9a-fce4-4c74-9862-6c28254e5bb9"}
{"type":"assistant","message":{"id":"msg_01QwGS65QvYws79Nno15VsWK","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01ENoyZayvmrCyipY1vmd5XV","name":"Grep","input":{"pattern":"configuration","path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs","output_mode":"files_with_matches"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":148,"cache_read_input_tokens":40891,"cache_creation":{"ephemeral_5m_input_tokens":148,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"9b277f81-31bf-4611-8625-281a10c8b035"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ENoyZayvmrCyipY1vmd5XV","type":"tool_result","content":"Found 13 files\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/capabilities/mcp.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/docs.json\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/getting-started/contribute.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/getting-started/quick-start/configuration-quick.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/getting-started/quick-start/installation.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/getting-started/quick-start/quick-start.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/introduction.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/archive/configuration.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/best-practices/configuration-advanced.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/capabilities/index.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/archive/ai-client-utils-example.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/archive/Installation.mdx\n/home/runner/work/claude-task-master/claude-task-master/apps/docs/README.md"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"83d3e598-440e-48be-a496-5acf984344ec"}
{"type":"assistant","message":{"id":"msg_0114HKqVn9QXongpNivCtRLB","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Let me examine the main configuration documentation files:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":563,"cache_read_input_tokens":41039,"cache_creation":{"ephemeral_5m_input_tokens":563,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"a26a3cca-1797-419c-9a83-42ea0670f31f"}
{"type":"assistant","message":{"id":"msg_0114HKqVn9QXongpNivCtRLB","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01BJU88fzpB8V7bBSa8RQ6SJ","name":"Read","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs/getting-started/quick-start/configuration-quick.mdx"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":563,"cache_read_input_tokens":41039,"cache_creation":{"ephemeral_5m_input_tokens":563,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"230894e6-633a-4449-91f6-68787a04f39d"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BJU88fzpB8V7bBSa8RQ6SJ","type":"tool_result","content":"     1→---\n     2→title: Configuration\n     3→sidebarTitle: \"Configuration\"\n     4→\n     5→---\n     6→\n     7→Before getting started with Task Master, you'll need to set up your API keys. There are a couple of ways to do this depending on whether you're using the CLI or working inside MCP. It's also a good time to start getting familiar with the other configuration options available — even if you don’t need to adjust them yet, knowing what’s possible will help down the line.\n     8→\n     9→## API Key Setup\n    10→\n    11→Task Master uses environment variables to securely store provider API keys and optional endpoint URLs.\n    12→\n    13→### MCP Usage: mcp.json file\n    14→\n    15→For MCP/Cursor usage: Configure keys in the env section of your .cursor/mcp.json file.\n    16→\n    17→```java .env lines icon=\"java\"\n    18→{\n    19→\t\"mcpServers\": {\n    20→\t\t\"task-master-ai\": {\n    21→\t\t\t\"command\": \"npx\",\n    22→\t\t\t\"args\": [\"-y\", \"task-master-ai\"],\n    23→\t\t\t\"env\": {\n    24→\t\t\t\t\"ANTHROPIC_API_KEY\": \"ANTHROPIC_API_KEY_HERE\",\n    25→\t\t\t\t\"PERPLEXITY_API_KEY\": \"PERPLEXITY_API_KEY_HERE\",\n    26→\t\t\t\t\"OPENAI_API_KEY\": \"OPENAI_API_KEY_HERE\",\n    27→\t\t\t\t\"GOOGLE_API_KEY\": \"GOOGLE_API_KEY_HERE\",\n    28→\t\t\t\t\"XAI_API_KEY\": \"XAI_API_KEY_HERE\",\n    29→\t\t\t\t\"OPENROUTER_API_KEY\": \"OPENROUTER_API_KEY_HERE\",\n    30→\t\t\t\t\"MISTRAL_API_KEY\": \"MISTRAL_API_KEY_HERE\",\n    31→\t\t\t\t\"AZURE_OPENAI_API_KEY\": \"AZURE_OPENAI_API_KEY_HERE\",\n    32→\t\t\t\t\"OLLAMA_API_KEY\": \"OLLAMA_API_KEY_HERE\",\n    33→\t\t\t\t\"GITHUB_API_KEY\": \"GITHUB_API_KEY_HERE\"\n    34→\t\t\t}\n    35→\t\t}\n    36→\t}\n    37→}\n    38→```\n    39→\n    40→### CLI Usage: `.env` File\n    41→\n    42→Create a `.env` file in your project root and include the keys for the providers you plan to use:\n    43→\n    44→\n    45→\n    46→```java .env lines icon=\"java\"\n    47→# Required API keys for providers configured in .taskmaster/config.json\n    48→ANTHROPIC_API_KEY=sk-ant-api03-your-key-here\n    49→PERPLEXITY_API_KEY=pplx-your-key-here\n    50→# OPENAI_API_KEY=sk-your-key-here\n    51→# GOOGLE_API_KEY=AIzaSy...\n    52→# AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here\n    53→# etc.\n    54→\n    55→# Optional Endpoint Overrides\n    56→# Use a specific provider's base URL, e.g., for an OpenAI-compatible API\n    57→# OPENAI_BASE_URL=https://api.third-party.com/v1\n    58→#\n    59→# Azure OpenAI Configuration\n    60→# AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/ or https://your-endpoint-name.cognitiveservices.azure.com/openai/deployments\n    61→# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api\n    62→\n    63→# Google Vertex AI Configuration (Required if using 'vertex' provider)\n    64→# VERTEX_PROJECT_ID=your-gcp-project-id\n    65→```\n    66→\n    67→## What Else Can Be Configured?\n    68→\n    69→The main configuration file (`.taskmaster/config.json`) allows you to control nearly every aspect of Task Master’s behavior. Here’s a high-level look at what you can customize:\n    70→\n    71→<Tip>\n    72→You don’t need to configure everything up front. Most settings can be left as defaults or updated later as your workflow evolves.\n    73→</Tip>\n    74→\n    75→<Accordion title=\"View Configuration Options\">\n    76→\n    77→### Models and Providers\n    78→- Role-based model setup: `main`, `research`, `fallback`\n    79→- Provider selection (Anthropic, OpenAI, Perplexity, etc.)\n    80→- Model IDs per role\n    81→- Temperature, max tokens, and other generation settings\n    82→- Custom base URLs for OpenAI-compatible APIs\n    83→\n    84→### Global Settings\n    85→- `logLevel`: Logging verbosity\n    86→- `debug`: Enable/disable debug mode\n    87→- `projectName`: Optional name for your project\n    88→- `defaultTag`: Default tag for task grouping\n    89→- `defaultSubtasks`: Number of subtasks to auto-generate\n    90→- `defaultPriority`: Priority level for new tasks\n    91→\n    92→### API Endpoint Overrides\n    93→- `ollamaBaseURL`: Custom Ollama server URL\n    94→- `azureBaseURL`: Global Azure endpoint\n    95→- `vertexProjectId`: Google Vertex AI project ID\n    96→- `vertexLocation`: Region for Vertex AI models\n    97→\n    98→### Tag and Git Integration\n    99→- Default tag context per project\n   100→- Support for task isolation by tag\n   101→- Manual tag creation from Git branches\n   102→\n   103→### State Management\n   104→- Active tag tracking\n   105→- Migration state\n   106→- Last tag switch timestamp\n   107→\n   108→</Accordion>\n   109→\n   110→<Note>\n   111→For advanced configuration options and detailed customization, see our [Advanced Configuration Guide](/docs/best-practices/configuration-advanced) page.\n   112→</Note>\n\n<system-reminder>\nWhenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer high-level questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"943c2b2e-bef2-400b-b8fe-4098091f653c"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Se6PYmapzV3LwZ3hVSDkh9","type":"tool_result","content":"     1→---\n     2→title: Advanced Configuration\n     3→sidebarTitle: \"Advanced Configuration\"\n     4→---\n     5→\n     6→\n     7→Taskmaster uses two primary methods for configuration:\n     8→\n     9→1.  **`.taskmaster/config.json` File (Recommended - New Structure)**\n    10→\n    11→    - This JSON file stores most configuration settings, including AI model selections, parameters, logging levels, and project defaults.\n    12→    - **Location:** This file is created in the `.taskmaster/` directory when you run the `task-master models --setup` interactive setup or initialize a new project with `task-master init`.\n    13→    - **Migration:** Existing projects with `.taskmasterconfig` in the root will continue to work, but should be migrated to the new structure using `task-master migrate`.\n    14→    - **Management:** Use the `task-master models --setup` command (or `models` MCP tool) to interactively create and manage this file. You can also set specific models directly using `task-master models --set-<role>=<model_id>`, adding `--ollama` or `--openrouter` flags for custom models. Manual editing is possible but not recommended unless you understand the structure.\n    15→    - **Example Structure:**\n    16→      ```json\n    17→      {\n    18→        \"models\": {\n    19→          \"main\": {\n    20→            \"provider\": \"anthropic\",\n    21→            \"modelId\": \"claude-3-7-sonnet-20250219\",\n    22→            \"maxTokens\": 64000,\n    23→            \"temperature\": 0.2,\n    24→            \"baseURL\": \"https://api.anthropic.com/v1\"\n    25→          },\n    26→          \"research\": {\n    27→            \"provider\": \"perplexity\",\n    28→            \"modelId\": \"sonar-pro\",\n    29→            \"maxTokens\": 8700,\n    30→            \"temperature\": 0.1,\n    31→            \"baseURL\": \"https://api.perplexity.ai/v1\"\n    32→          },\n    33→          \"fallback\": {\n    34→            \"provider\": \"anthropic\",\n    35→            \"modelId\": \"claude-3-5-sonnet\",\n    36→            \"maxTokens\": 64000,\n    37→            \"temperature\": 0.2\n    38→          }\n    39→        },\n    40→        \"global\": {\n    41→          \"logLevel\": \"info\",\n    42→          \"debug\": false,\n    43→          \"defaultSubtasks\": 5,\n    44→          \"defaultPriority\": \"medium\",\n    45→          \"defaultTag\": \"master\",\n    46→          \"projectName\": \"Your Project Name\",\n    47→          \"ollamaBaseURL\": \"http://localhost:11434/api\",\n    48→          \"azureBaseURL\": \"https://your-endpoint.azure.com/openai/deployments\",\n    49→          \"vertexProjectId\": \"your-gcp-project-id\",\n    50→          \"vertexLocation\": \"us-central1\"\n    51→        }\n    52→      }\n    53→      ```\n    54→\n    55→\n    56→2.  **Legacy `.taskmasterconfig` File (Backward Compatibility)**\n    57→\n    58→    - For projects that haven't migrated to the new structure yet.\n    59→    - **Location:** Project root directory.\n    60→    - **Migration:** Use `task-master migrate` to move this to `.taskmaster/config.json`.\n    61→    - **Deprecation:** While still supported, you'll see warnings encouraging migration to the new structure.\n    62→\n    63→## Environment Variables (`.env` file or MCP `env` block - For API Keys Only)\n    64→\n    65→- Used **exclusively** for sensitive API keys and specific endpoint URLs.\n    66→- **Location:**\n    67→  - For CLI usage: Create a `.env` file in your project root.\n    68→  - For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.\n    69→- **Required API Keys (Depending on configured providers):**\n    70→  - `ANTHROPIC_API_KEY`: Your Anthropic API key.\n    71→  - `PERPLEXITY_API_KEY`: Your Perplexity API key.\n    72→  - `OPENAI_API_KEY`: Your OpenAI API key.\n    73→  - `GOOGLE_API_KEY`: Your Google API key (also used for Vertex AI provider).\n    74→  - `MISTRAL_API_KEY`: Your Mistral API key.\n    75→  - `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).\n    76→  - `OPENROUTER_API_KEY`: Your OpenRouter API key.\n    77→  - `XAI_API_KEY`: Your X-AI API key.\n    78→- **Optional Endpoint Overrides:**\n    79→  - **Per-role `baseURL` in `.taskmasterconfig`:** You can add a `baseURL` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.\n    80→  - **Environment Variable Overrides (`<PROVIDER>_BASE_URL`):** For greater flexibility, especially with third-party services, you can set an environment variable like `OPENAI_BASE_URL` or `MISTRAL_BASE_URL`. This will override any `baseURL` set in the configuration file for that provider. This is the recommended way to connect to OpenAI-compatible APIs.\n    81→  - `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseURL` for the Azure model role).\n    82→  - `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).\n    83→  - `VERTEX_PROJECT_ID`: Your Google Cloud project ID for Vertex AI. Required when using the 'vertex' provider.\n    84→  - `VERTEX_LOCATION`: Google Cloud region for Vertex AI (e.g., 'us-central1'). Default is 'us-central1'.\n    85→  - `GOOGLE_APPLICATION_CREDENTIALS`: Path to service account credentials JSON file for Google Cloud auth (alternative to API key for Vertex AI).\n    86→- **Optional Auto-Update Control:**\n    87→  - `TASKMASTER_SKIP_AUTO_UPDATE`: Set to '1' to disable automatic updates. Also automatically disabled in CI environments (when `CI` environment variable is set).\n    88→\n    89→**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmaster/config.json`** (or `.taskmasterconfig` for unmigrated projects), not environment variables.\n    90→\n    91→## Tagged Task Lists Configuration (v0.17+)\n    92→\n    93→Taskmaster includes a tagged task lists system for multi-context task management.\n    94→\n    95→### Global Tag Settings\n    96→\n    97→```json\n    98→\"global\": {\n    99→  \"defaultTag\": \"master\"\n   100→}\n   101→```\n   102→\n   103→- **`defaultTag`** (string): Default tag context for new operations (default: \"master\")\n   104→\n   105→### Git Integration\n   106→\n   107→Task Master provides manual git integration through the `--from-branch` option:\n   108→\n   109→- **Manual Tag Creation**: Use `task-master add-tag --from-branch` to create a tag based on your current git branch name\n   110→- **User Control**: No automatic tag switching - you control when and how tags are created\n   111→- **Flexible Workflow**: Supports any git workflow without imposing rigid branch-tag mappings\n   112→\n   113→## State Management File\n   114→\n   115→Taskmaster uses `.taskmaster/state.json` to track tagged system runtime information:\n   116→\n   117→```json\n   118→{\n   119→  \"currentTag\": \"master\",\n   120→  \"lastSwitched\": \"2025-06-11T20:26:12.598Z\",\n   121→  \"migrationNoticeShown\": true\n   122→}\n   123→```\n   124→\n   125→- **`currentTag`**: Currently active tag context\n   126→- **`lastSwitched`**: Timestamp of last tag switch\n   127→- **`migrationNoticeShown`**: Whether migration notice has been displayed\n   128→\n   129→This file is automatically created during tagged system migration and should not be manually edited.\n   130→\n   131→## Example `.env` File (for API Keys)\n   132→\n   133→```\n   134→# Required API keys for providers configured in .taskmaster/config.json\n   135→ANTHROPIC_API_KEY=sk-ant-api03-your-key-here\n   136→PERPLEXITY_API_KEY=pplx-your-key-here\n   137→# OPENAI_API_KEY=sk-your-key-here\n   138→# GOOGLE_API_KEY=AIzaSy...\n   139→# AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here\n   140→# etc.\n   141→\n   142→# Optional Endpoint Overrides\n   143→# Use a specific provider's base URL, e.g., for an OpenAI-compatible API\n   144→# OPENAI_BASE_URL=https://api.third-party.com/v1\n   145→#\n   146→# Azure OpenAI Configuration\n   147→# AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/ or https://your-endpoint-name.cognitiveservices.azure.com/openai/deployments\n   148→# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api\n   149→\n   150→# Google Vertex AI Configuration (Required if using 'vertex' provider)\n   151→# VERTEX_PROJECT_ID=your-gcp-project-id\n   152→```\n   153→\n   154→## Troubleshooting\n   155→\n   156→### Configuration Errors\n   157→\n   158→- If Task Master reports errors about missing configuration or cannot find the config file, run `task-master models --setup` in your project root to create or repair the file.\n   159→- For new projects, config will be created at `.taskmaster/config.json`. For legacy projects, you may want to use `task-master migrate` to move to the new structure.\n   160→- Ensure API keys are correctly placed in your `.env` file (for CLI) or `.cursor/mcp.json` (for MCP) and are valid for the providers selected in your config file.\n   161→\n   162→### If `task-master init` doesn't respond:\n   163→\n   164→Try running it with Node directly:\n   165→\n   166→```bash\n   167→node node_modules/claude-task-master/scripts/init.js\n   168→```\n   169→\n   170→Or clone the repository and run:\n   171→\n   172→```bash\n   173→git clone https://github.com/eyaltoledano/claude-task-master.git\n   174→cd claude-task-master\n   175→node scripts/init.js\n   176→```\n   177→\n   178→## Provider-Specific Configuration\n   179→\n   180→### Google Vertex AI Configuration\n   181→\n   182→Google Vertex AI is Google Cloud's enterprise AI platform and requires specific configuration:\n   183→\n   184→1. **Prerequisites**:\n   185→   - A Google Cloud account with Vertex AI API enabled\n   186→   - Either a Google API key with Vertex AI permissions OR a service account with appropriate roles\n   187→   - A Google Cloud project ID\n   188→2. **Authentication Options**:\n   189→   - **API Key**: Set the `GOOGLE_API_KEY` environment variable\n   190→   - **Service Account**: Set `GOOGLE_APPLICATION_CREDENTIALS` to point to your service account JSON file\n   191→3. **Required Configuration**:\n   192→   - Set `VERTEX_PROJECT_ID` to your Google Cloud project ID\n   193→   - Set `VERTEX_LOCATION` to your preferred Google Cloud region (default: us-central1)\n   194→4. **Example Setup**:\n   195→\n   196→   ```bash\n   197→   # In .env file\n   198→   GOOGLE_API_KEY=AIzaSyXXXXXXXXXXXXXXXXXXXXXXXXX\n   199→   VERTEX_PROJECT_ID=my-gcp-project-123\n   200→   VERTEX_LOCATION=us-central1\n   201→   ```\n   202→\n   203→   Or using service account:\n   204→\n   205→   ```bash\n   206→   # In .env file\n   207→   GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json\n   208→   VERTEX_PROJECT_ID=my-gcp-project-123\n   209→   VERTEX_LOCATION=us-central1\n   210→   ```\n   211→\n   212→5. **In .taskmaster/config.json**:\n   213→   ```json\n   214→   \"global\": {\n   215→     \"vertexProjectId\": \"my-gcp-project-123\",\n   216→     \"vertexLocation\": \"us-central1\"\n   217→   }\n   218→   ```\n   219→\n   220→### Azure OpenAI Configuration\n   221→\n   222→Azure OpenAI provides enterprise-grade OpenAI models through Microsoft's Azure cloud platform and requires specific configuration:\n   223→\n   224→1. **Prerequisites**:\n   225→   - An Azure account with an active subscription\n   226→   - Azure OpenAI service resource created in the Azure portal\n   227→   - Azure OpenAI API key and endpoint URL\n   228→   - Deployed models (e.g., gpt-4o, gpt-4o-mini, gpt-4.1, etc) in your Azure OpenAI resource\n   229→\n   230→2. **Authentication**:\n   231→   - Set the `AZURE_OPENAI_API_KEY` environment variable with your Azure OpenAI API key\n   232→   - Configure the endpoint URL using one of the methods below\n   233→\n   234→3. **Configuration Options**:\n   235→\n   236→   **Option 1: Using Global Azure Base URL (affects all Azure models)**\n   237→   ```json\n   238→   // In .taskmaster/config.json\n   239→   {\n   240→     \"models\": {\n   241→       \"main\": {\n   242→         \"provider\": \"azure\",\n   243→         \"modelId\": \"gpt-4o\",\n   244→         \"maxTokens\": 16000,\n   245→         \"temperature\": 0.7\n   246→       },\n   247→       \"fallback\": {\n   248→         \"provider\": \"azure\", \n   249→         \"modelId\": \"gpt-4o-mini\",\n   250→         \"maxTokens\": 10000,\n   251→         \"temperature\": 0.7\n   252→       }\n   253→     },\n   254→     \"global\": {\n   255→       \"azureBaseURL\": \"https://your-resource-name.azure.com/openai/deployments\"\n   256→     }\n   257→   }\n   258→   ```\n   259→\n   260→   **Option 2: Using Per-Model Base URLs (recommended for flexibility)**\n   261→   ```json\n   262→   // In .taskmaster/config.json\n   263→   {\n   264→     \"models\": {\n   265→       \"main\": {\n   266→         \"provider\": \"azure\",\n   267→         \"modelId\": \"gpt-4o\", \n   268→         \"maxTokens\": 16000,\n   269→         \"temperature\": 0.7,\n   270→         \"baseURL\": \"https://your-resource-name.azure.com/openai/deployments\"\n   271→       },\n   272→       \"research\": {\n   273→         \"provider\": \"perplexity\",\n   274→         \"modelId\": \"sonar-pro\",\n   275→         \"maxTokens\": 8700,\n   276→         \"temperature\": 0.1\n   277→       },\n   278→       \"fallback\": {\n   279→         \"provider\": \"azure\",\n   280→         \"modelId\": \"gpt-4o-mini\",\n   281→         \"maxTokens\": 10000, \n   282→         \"temperature\": 0.7,\n   283→         \"baseURL\": \"https://your-resource-name.azure.com/openai/deployments\"\n   284→       }\n   285→     }\n   286→   }\n   287→   ```\n   288→\n   289→4. **Environment Variables**:\n   290→   ```bash\n   291→   # In .env file\n   292→   AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here\n   293→   \n   294→   # Optional: Override endpoint for all Azure models\n   295→   AZURE_OPENAI_ENDPOINT=https://your-resource-name.azure.com/openai/deployments\n   296→   ```\n   297→\n   298→5. **Important Notes**:\n   299→   - **Model Deployment Names**: The `modelId` in your configuration should match the **deployment name** you created in Azure OpenAI Studio, not the underlying model name\n   300→   - **Base URL Priority**: Per-model `baseURL` settings override the global `azureBaseURL` setting\n   301→   - **Endpoint Format**: When using per-model `baseURL`, use the full path including `/openai/deployments`\n   302→\n   303→6. **Troubleshooting**:\n   304→\n   305→   **\"Resource not found\" errors:**\n   306→   - Ensure your `baseURL` includes the full path: `https://your-resource-name.openai.azure.com/openai/deployments`\n   307→   - Verify that your deployment name in `modelId` exactly matches what's configured in Azure OpenAI Studio\n   308→   - Check that your Azure OpenAI resource is in the correct region and properly deployed\n   309→\n   310→   **Authentication errors:**\n   311→   - Verify your `AZURE_OPENAI_API_KEY` is correct and has not expired\n   312→   - Ensure your Azure OpenAI resource has the necessary permissions\n   313→   - Check that your subscription has not been suspended or reached quota limits\n   314→\n   315→   **Model availability errors:**\n   316→   - Confirm the model is deployed in your Azure OpenAI resource\n   317→   - Verify the deployment name matches your configuration exactly (case-sensitive)\n   318→   - Ensure the model deployment is in a \"Succeeded\" state in Azure OpenAI Studio\n   319→   - Ensure youre not getting rate limited by `maxTokens` maintain appropriate Tokens per Minute Rate Limit (TPM) in your deployment.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer high-level questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"59d0a515-261d-476d-a925-3889d5dad622"}
{"type":"assistant","message":{"id":"msg_01LPWwt4WY8DeuTKPASXaTQv","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Based on my analysis of the recent changes, I can see that:\n\n1. **MCP timeout configuration** was added to the Roo Code profile specifically \n2. The feature automatically sets a 300-second timeout for MCP operations to prevent timeouts during long-running AI operations\n3. The existing configuration documentation in `docs/configuration.md` (root level) already includes comprehensive MCP timeout documentation\n4. However, the apps/docs/ directory (which appears to be the user-facing documentation) does **not** have this MCP timeout information\n\nThe key changes show that:\n- Roo profile now programmatically sets `timeout: 300` in MCP configurations  \n- This addresses timeout issues with long-running operations like `parse-prd`, `expand-all`, etc.\n- The feature is automatically included when users run `task-master rules add roo`\n\nI need to update the user-facing documentation in apps/docs to include this important MCP timeout configuration information."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":4965,"cache_read_input_tokens":43328,"cache_creation":{"ephemeral_5m_input_tokens":4965,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"4a88029d-256d-47d5-91f2-2ce2829e6a42"}
{"type":"assistant","message":{"id":"msg_01LPWwt4WY8DeuTKPASXaTQv","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01HLVEZAMXjArSgtwEqZsd3C","name":"Read","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs/capabilities/mcp.mdx","limit":50}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":4965,"cache_read_input_tokens":43328,"cache_creation":{"ephemeral_5m_input_tokens":4965,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"d9c64eb0-908c-4701-95ca-50ac1d106bbf"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HLVEZAMXjArSgtwEqZsd3C","type":"tool_result","content":"     1→---\n     2→title: MCP Tools\n     3→sidebarTitle: \"MCP Tools\"\n     4→---\n     5→\n     6→# MCP Tools\n     7→\n     8→This document provides an overview of the MCP (Machine-to-Machine Communication Protocol) interface for the Task Master application. The MCP interface is defined in the `mcp-server/` directory and exposes the application's core functionalities as a set of tools that can be called remotely.\n     9→\n    10→## Core Concepts\n    11→\n    12→The MCP interface is built on top of the `fastmcp` library and registers a set of tools that correspond to the core functionalities of the Task Master application. These tools are defined in the `mcp-server/src/tools/` directory and are registered with the MCP server in `mcp-server/src/tools/index.js`.\n    13→\n    14→Each tool is defined with a name, a description, and a set of parameters that are validated using the `zod` library. The `execute` function of each tool calls the corresponding core logic function from `scripts/modules/task-manager.js`.\n    15→\n    16→## Tool Categories\n    17→\n    18→The MCP tools can be categorized in the same way as the core functionalities:\n    19→\n    20→### 1. Task and Subtask Management\n    21→\n    22→-   **`add_task`**: Creates a new task.\n    23→-   **`add_subtask`**: Adds a subtask to a parent task.\n    24→-   **`remove_task`**: Removes one or more tasks or subtasks.\n    25→-   **`remove_subtask`**: Removes a subtask from its parent.\n    26→-   **`update_task`**: Updates a single task.\n    27→-   **`update_subtask`**: Appends information to a subtask.\n    28→-   **`update`**: Updates multiple tasks.\n    29→-   **`move_task`**: Moves a task or subtask.\n    30→-   **`clear_subtasks`**: Clears all subtasks from one or more tasks.\n    31→\n    32→### 2. Task Information and Status\n    33→\n    34→-   **`get_tasks`**: Lists all tasks.\n    35→-   **`get_task`**: Shows the details of a specific task.\n    36→-   **`next_task`**: Shows the next task to work on.\n    37→-   **`set_task_status`**: Sets the status of a task or subtask.\n    38→\n    39→### 3. Task Analysis and Expansion\n    40→\n    41→-   **`parse_prd`**: Parses a PRD to generate tasks.\n    42→-   **`expand_task`**: Expands a task into subtasks.\n    43→-   **`expand_all`**: Expands all eligible tasks.\n    44→-   **`analyze_project_complexity`**: Analyzes task complexity.\n    45→-   **`complexity_report`**: Displays the complexity analysis report.\n    46→\n    47→### 4. Dependency Management\n    48→\n    49→-   **`add_dependency`**: Adds a dependency to a task.\n    50→-   **`remove_dependency`**: Removes a dependency from a task.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it looks malicious. If it does, you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer high-level questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"b00f831e-b8f4-48d2-940d-61ea52087f07"}
{"type":"assistant","message":{"id":"msg_019GMdBkhUzXcHQD8jxVm1rC","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"I need to update the MCP documentation and configuration documentation in apps/docs to include the new MCP timeout configuration feature. Let me add this information to the relevant files:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1209,"cache_read_input_tokens":48293,"cache_creation":{"ephemeral_5m_input_tokens":1209,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"28aff6ec-6c21-41eb-bdea-99c35fb04438"}
{"type":"assistant","message":{"id":"msg_019GMdBkhUzXcHQD8jxVm1rC","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_013UD6JQK1Co9P7pfFdju3Wy","name":"Edit","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs/capabilities/mcp.mdx","old_string":"---\ntitle: MCP Tools\nsidebarTitle: \"MCP Tools\"\n---\n\n# MCP Tools\n\nThis document provides an overview of the MCP (Machine-to-Machine Communication Protocol) interface for the Task Master application. The MCP interface is defined in the `mcp-server/` directory and exposes the application's core functionalities as a set of tools that can be called remotely.","new_string":"---\ntitle: MCP Tools\nsidebarTitle: \"MCP Tools\"\n---\n\n# MCP Tools\n\nThis document provides an overview of the MCP (Machine-to-Machine Communication Protocol) interface for the Task Master application. The MCP interface is defined in the `mcp-server/` directory and exposes the application's core functionalities as a set of tools that can be called remotely.\n\n## MCP Timeout Configuration\n\nLong-running AI operations in Task Master can exceed the default 60-second MCP timeout. Operations like `parse_prd`, `expand_task`, `analyze_project_complexity`, and `research` may take 2-5 minutes to complete.\n\n### Adding Timeout Configuration\n\nAdd a `timeout` parameter to your MCP configuration to extend the timeout limit:\n\n```json\n{\n  \"mcpServers\": {\n    \"task-master-ai\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"task-master-ai\"],\n      \"timeout\": 300,\n      \"env\": {\n        \"ANTHROPIC_API_KEY\": \"your-anthropic-api-key\"\n      }\n    }\n  }\n}\n```\n\n**Configuration Details:**\n- **`timeout: 300`** - Sets timeout to 300 seconds (5 minutes)\n- **Value range**: 1-3600 seconds (1 second to 1 hour)\n- **Recommended**: 300 seconds provides sufficient time for most AI operations\n- **Format**: Integer value in seconds (not milliseconds)\n\n### Automatic Setup\n\nWhen using supported AI coding assistants, the timeout configuration is automatically included when you add Task Master rules:\n\n```bash\n# Automatically includes timeout configuration\ntask-master rules add cursor\ntask-master rules add roo\ntask-master rules add windsurf\ntask-master rules add vscode\n```\n\n### Troubleshooting Timeouts\n\nIf you're still experiencing timeout errors:\n\n1. **Verify configuration**: Check that `timeout: 300` is present in your MCP config\n2. **Restart editor**: Restart your editor after making configuration changes\n3. **Increase timeout**: For very complex operations, try `timeout: 600` (10 minutes)\n4. **Check API keys**: Ensure required API keys are properly configured\n\n**Expected behavior:**\n- **Before fix**: Operations fail after 60 seconds with `MCP request timed out after 60000ms`\n- **After fix**: Operations complete successfully within the configured timeout limit"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":1209,"cache_read_input_tokens":48293,"cache_creation":{"ephemeral_5m_input_tokens":1209,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"674c28e5-649e-4aaf-a1f7-656c476fe15a"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013UD6JQK1Co9P7pfFdju3Wy","type":"tool_result","content":"The file /home/runner/work/claude-task-master/claude-task-master/apps/docs/capabilities/mcp.mdx has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n     1→---\n     2→title: MCP Tools\n     3→sidebarTitle: \"MCP Tools\"\n     4→---\n     5→\n     6→# MCP Tools\n     7→\n     8→This document provides an overview of the MCP (Machine-to-Machine Communication Protocol) interface for the Task Master application. The MCP interface is defined in the `mcp-server/` directory and exposes the application's core functionalities as a set of tools that can be called remotely.\n     9→\n    10→## MCP Timeout Configuration\n    11→\n    12→Long-running AI operations in Task Master can exceed the default 60-second MCP timeout. Operations like `parse_prd`, `expand_task`, `analyze_project_complexity`, and `research` may take 2-5 minutes to complete.\n    13→\n    14→### Adding Timeout Configuration\n    15→\n    16→Add a `timeout` parameter to your MCP configuration to extend the timeout limit:\n    17→\n    18→```json\n    19→{\n    20→  \"mcpServers\": {\n    21→    \"task-master-ai\": {\n    22→      \"command\": \"npx\",\n    23→      \"args\": [\"-y\", \"task-master-ai\"],\n    24→      \"timeout\": 300,\n    25→      \"env\": {\n    26→        \"ANTHROPIC_API_KEY\": \"your-anthropic-api-key\"\n    27→      }\n    28→    }\n    29→  }\n    30→}\n    31→```\n    32→\n    33→**Configuration Details:**\n    34→- **`timeout: 300`** - Sets timeout to 300 seconds (5 minutes)\n    35→- **Value range**: 1-3600 seconds (1 second to 1 hour)\n    36→- **Recommended**: 300 seconds provides sufficient time for most AI operations\n    37→- **Format**: Integer value in seconds (not milliseconds)\n    38→\n    39→### Automatic Setup\n    40→\n    41→When using supported AI coding assistants, the timeout configuration is automatically included when you add Task Master rules:\n    42→\n    43→```bash\n    44→# Automatically includes timeout configuration\n    45→task-master rules add cursor\n    46→task-master rules add roo\n    47→task-master rules add windsurf\n    48→task-master rules add vscode\n    49→```\n    50→\n    51→### Troubleshooting Timeouts\n    52→\n    53→If you're still experiencing timeout errors:\n    54→\n    55→1. **Verify configuration**: Check that `timeout: 300` is present in your MCP config\n    56→2. **Restart editor**: Restart your editor after making configuration changes\n    57→3. **Increase timeout**: For very complex operations, try `timeout: 600` (10 minutes)\n    58→4. **Check API keys**: Ensure required API keys are properly configured\n    59→\n    60→**Expected behavior:**\n    61→- **Before fix**: Operations fail after 60 seconds with `MCP request timed out after 60000ms`\n    62→- **After fix**: Operations complete successfully within the configured timeout limit\n    63→\n    64→## Core Concepts\n    65→\n    66→The MCP interface is built on top of the `fastmcp` library and registers a set of tools that correspond to the core functionalities of the Task Master application. These tools are defined in the `mcp-server/src/tools/` directory and are registered with the MCP server in `mcp-server/src/tools/index.js`."}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"9ab54668-77fc-4db2-b5ec-5934eb3760d4"}
{"type":"assistant","message":{"id":"msg_01QSrfEzWVGg7KLW32HYHB3N","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Now I'll update the configuration documentation to also include the MCP timeout information:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1816,"cache_read_input_tokens":49502,"cache_creation":{"ephemeral_5m_input_tokens":1816,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"7534bf09-ae7e-4776-adf0-ab166f85afea"}
{"type":"assistant","message":{"id":"msg_01QSrfEzWVGg7KLW32HYHB3N","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01FMPb83ye2dvgZA6FQrVdg6","name":"Edit","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs/getting-started/quick-start/configuration-quick.mdx","old_string":"### MCP Usage: mcp.json file\n\nFor MCP/Cursor usage: Configure keys in the env section of your .cursor/mcp.json file.\n\n```java .env lines icon=\"java\"\n{\n\t\"mcpServers\": {\n\t\t\"task-master-ai\": {\n\t\t\t\"command\": \"npx\",\n\t\t\t\"args\": [\"-y\", \"task-master-ai\"],\n\t\t\t\"env\": {\n\t\t\t\t\"ANTHROPIC_API_KEY\": \"ANTHROPIC_API_KEY_HERE\",\n\t\t\t\t\"PERPLEXITY_API_KEY\": \"PERPLEXITY_API_KEY_HERE\",\n\t\t\t\t\"OPENAI_API_KEY\": \"OPENAI_API_KEY_HERE\",\n\t\t\t\t\"GOOGLE_API_KEY\": \"GOOGLE_API_KEY_HERE\",\n\t\t\t\t\"XAI_API_KEY\": \"XAI_API_KEY_HERE\",\n\t\t\t\t\"OPENROUTER_API_KEY\": \"OPENROUTER_API_KEY_HERE\",\n\t\t\t\t\"MISTRAL_API_KEY\": \"MISTRAL_API_KEY_HERE\",\n\t\t\t\t\"AZURE_OPENAI_API_KEY\": \"AZURE_OPENAI_API_KEY_HERE\",\n\t\t\t\t\"OLLAMA_API_KEY\": \"OLLAMA_API_KEY_HERE\",\n\t\t\t\t\"GITHUB_API_KEY\": \"GITHUB_API_KEY_HERE\"\n\t\t\t}\n\t\t}\n\t}\n}\n```","new_string":"### MCP Usage: mcp.json file\n\nFor MCP/Cursor usage: Configure keys in the env section of your .cursor/mcp.json file.\n\n```java .env lines icon=\"java\"\n{\n\t\"mcpServers\": {\n\t\t\"task-master-ai\": {\n\t\t\t\"command\": \"npx\",\n\t\t\t\"args\": [\"-y\", \"task-master-ai\"],\n\t\t\t\"timeout\": 300,\n\t\t\t\"env\": {\n\t\t\t\t\"ANTHROPIC_API_KEY\": \"ANTHROPIC_API_KEY_HERE\",\n\t\t\t\t\"PERPLEXITY_API_KEY\": \"PERPLEXITY_API_KEY_HERE\",\n\t\t\t\t\"OPENAI_API_KEY\": \"OPENAI_API_KEY_HERE\",\n\t\t\t\t\"GOOGLE_API_KEY\": \"GOOGLE_API_KEY_HERE\",\n\t\t\t\t\"XAI_API_KEY\": \"XAI_API_KEY_HERE\",\n\t\t\t\t\"OPENROUTER_API_KEY\": \"OPENROUTER_API_KEY_HERE\",\n\t\t\t\t\"MISTRAL_API_KEY\": \"MISTRAL_API_KEY_HERE\",\n\t\t\t\t\"AZURE_OPENAI_API_KEY\": \"AZURE_OPENAI_API_KEY_HERE\",\n\t\t\t\t\"OLLAMA_API_KEY\": \"OLLAMA_API_KEY_HERE\",\n\t\t\t\t\"GITHUB_API_KEY\": \"GITHUB_API_KEY_HERE\"\n\t\t\t}\n\t\t}\n\t}\n}\n```\n\n<Note>\nThe `timeout: 300` setting (5 minutes) is recommended for long-running AI operations like `parse-prd`, `expand-all`, and `analyze-complexity`. This prevents timeout errors during complex tasks.\n</Note>"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1816,"cache_read_input_tokens":49502,"cache_creation":{"ephemeral_5m_input_tokens":1816,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"12ed15fc-76e5-4f2f-90a1-813369978ede"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FMPb83ye2dvgZA6FQrVdg6","type":"tool_result","content":"The file /home/runner/work/claude-task-master/claude-task-master/apps/docs/getting-started/quick-start/configuration-quick.mdx has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n     9→## API Key Setup\n    10→\n    11→Task Master uses environment variables to securely store provider API keys and optional endpoint URLs.\n    12→\n    13→### MCP Usage: mcp.json file\n    14→\n    15→For MCP/Cursor usage: Configure keys in the env section of your .cursor/mcp.json file.\n    16→\n    17→```java .env lines icon=\"java\"\n    18→{\n    19→\t\"mcpServers\": {\n    20→\t\t\"task-master-ai\": {\n    21→\t\t\t\"command\": \"npx\",\n    22→\t\t\t\"args\": [\"-y\", \"task-master-ai\"],\n    23→\t\t\t\"timeout\": 300,\n    24→\t\t\t\"env\": {\n    25→\t\t\t\t\"ANTHROPIC_API_KEY\": \"ANTHROPIC_API_KEY_HERE\",\n    26→\t\t\t\t\"PERPLEXITY_API_KEY\": \"PERPLEXITY_API_KEY_HERE\",\n    27→\t\t\t\t\"OPENAI_API_KEY\": \"OPENAI_API_KEY_HERE\",\n    28→\t\t\t\t\"GOOGLE_API_KEY\": \"GOOGLE_API_KEY_HERE\",\n    29→\t\t\t\t\"XAI_API_KEY\": \"XAI_API_KEY_HERE\",\n    30→\t\t\t\t\"OPENROUTER_API_KEY\": \"OPENROUTER_API_KEY_HERE\",\n    31→\t\t\t\t\"MISTRAL_API_KEY\": \"MISTRAL_API_KEY_HERE\",\n    32→\t\t\t\t\"AZURE_OPENAI_API_KEY\": \"AZURE_OPENAI_API_KEY_HERE\",\n    33→\t\t\t\t\"OLLAMA_API_KEY\": \"OLLAMA_API_KEY_HERE\",\n    34→\t\t\t\t\"GITHUB_API_KEY\": \"GITHUB_API_KEY_HERE\"\n    35→\t\t\t}\n    36→\t\t}\n    37→\t}\n    38→}\n    39→```\n    40→\n    41→<Note>\n    42→The `timeout: 300` setting (5 minutes) is recommended for long-running AI operations like `parse-prd`, `expand-all`, and `analyze-complexity`. This prevents timeout errors during complex tasks.\n    43→</Note>\n    44→\n    45→### CLI Usage: `.env` File\n    46→\n    47→Create a `.env` file in your project root and include the keys for the providers you plan to use:"}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"54d92cf3-0738-4727-98dd-6d1fd6de3b9b"}
{"type":"assistant","message":{"id":"msg_01M5Rkv5yyz2ga3oowYbL7tm","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Now I'll add the timeout configuration information to the advanced configuration documentation as well:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1540,"cache_read_input_tokens":51318,"cache_creation":{"ephemeral_5m_input_tokens":1540,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"626c3e93-f4d6-4804-b2f8-536b49fc7979"}
{"type":"assistant","message":{"id":"msg_01M5Rkv5yyz2ga3oowYbL7tm","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01LVFBoVTLQxqUhfd9d4CUUu","name":"Edit","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs/best-practices/configuration-advanced.mdx","old_string":"## Environment Variables (`.env` file or MCP `env` block - For API Keys Only)\n\n- Used **exclusively** for sensitive API keys and specific endpoint URLs.\n- **Location:**\n  - For CLI usage: Create a `.env` file in your project root.\n  - For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.","new_string":"## Environment Variables (`.env` file or MCP `env` block - For API Keys Only)\n\n- Used **exclusively** for sensitive API keys and specific endpoint URLs.\n- **Location:**\n  - For CLI usage: Create a `.env` file in your project root.\n  - For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.\n\n## MCP Timeout Configuration\n\nFor MCP usage, it's important to configure appropriate timeouts for long-running AI operations:\n\n```json\n{\n  \"mcpServers\": {\n    \"task-master-ai\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"task-master-ai\"],\n      \"timeout\": 300,\n      \"env\": {\n        \"ANTHROPIC_API_KEY\": \"your-api-key-here\"\n      }\n    }\n  }\n}\n```\n\n**Key points:**\n- **Default MCP timeout**: 60 seconds (often insufficient for AI operations)\n- **Recommended timeout**: 300 seconds (5 minutes) \n- **Operations that benefit**: `parse_prd`, `expand_task`, `analyze_project_complexity`, `research`\n- **Automatic setup**: Included when using `task-master rules add` for supported editors"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1540,"cache_read_input_tokens":51318,"cache_creation":{"ephemeral_5m_input_tokens":1540,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"a810034f-e186-45c4-895d-b142fb0705c6"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LVFBoVTLQxqUhfd9d4CUUu","type":"tool_result","content":"The file /home/runner/work/claude-task-master/claude-task-master/apps/docs/best-practices/configuration-advanced.mdx has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n    59→    - **Location:** Project root directory.\n    60→    - **Migration:** Use `task-master migrate` to move this to `.taskmaster/config.json`.\n    61→    - **Deprecation:** While still supported, you'll see warnings encouraging migration to the new structure.\n    62→\n    63→## Environment Variables (`.env` file or MCP `env` block - For API Keys Only)\n    64→\n    65→- Used **exclusively** for sensitive API keys and specific endpoint URLs.\n    66→- **Location:**\n    67→  - For CLI usage: Create a `.env` file in your project root.\n    68→  - For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.\n    69→\n    70→## MCP Timeout Configuration\n    71→\n    72→For MCP usage, it's important to configure appropriate timeouts for long-running AI operations:\n    73→\n    74→```json\n    75→{\n    76→  \"mcpServers\": {\n    77→    \"task-master-ai\": {\n    78→      \"command\": \"npx\",\n    79→      \"args\": [\"-y\", \"task-master-ai\"],\n    80→      \"timeout\": 300,\n    81→      \"env\": {\n    82→        \"ANTHROPIC_API_KEY\": \"your-api-key-here\"\n    83→      }\n    84→    }\n    85→  }\n    86→}\n    87→```\n    88→\n    89→**Key points:**\n    90→- **Default MCP timeout**: 60 seconds (often insufficient for AI operations)\n    91→- **Recommended timeout**: 300 seconds (5 minutes) \n    92→- **Operations that benefit**: `parse_prd`, `expand_task`, `analyze_project_complexity`, `research`\n    93→- **Automatic setup**: Included when using `task-master rules add` for supported editors\n    94→- **Required API Keys (Depending on configured providers):**\n    95→  - `ANTHROPIC_API_KEY`: Your Anthropic API key.\n    96→  - `PERPLEXITY_API_KEY`: Your Perplexity API key.\n    97→  - `OPENAI_API_KEY`: Your OpenAI API key."}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"85b7c45a-617b-4edb-a3c2-f7507e5dffec"}
{"type":"assistant","message":{"id":"msg_01EEi6ZS7Sz6tVkJgPujZhDe","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"I need to fix the formatting by adding a proper separator between the MCP timeout section and the existing content:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":52858,"cache_creation":{"ephemeral_5m_input_tokens":1162,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"0a02851f-6da5-4419-8185-1fb6e6931d41"}
{"type":"assistant","message":{"id":"msg_01EEi6ZS7Sz6tVkJgPujZhDe","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"tool_use","id":"toolu_01M7VDYk2ut9UkeYAKBjg8Fd","name":"Edit","input":{"file_path":"/home/runner/work/claude-task-master/claude-task-master/apps/docs/best-practices/configuration-advanced.mdx","old_string":"**Key points:**\n- **Default MCP timeout**: 60 seconds (often insufficient for AI operations)\n- **Recommended timeout**: 300 seconds (5 minutes) \n- **Operations that benefit**: `parse_prd`, `expand_task`, `analyze_project_complexity`, `research`\n- **Automatic setup**: Included when using `task-master rules add` for supported editors\n- **Required API Keys (Depending on configured providers):**","new_string":"**Key points:**\n- **Default MCP timeout**: 60 seconds (often insufficient for AI operations)\n- **Recommended timeout**: 300 seconds (5 minutes) \n- **Operations that benefit**: `parse_prd`, `expand_task`, `analyze_project_complexity`, `research`\n- **Automatic setup**: Included when using `task-master rules add` for supported editors\n\n- **Required API Keys (Depending on configured providers):**"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":52858,"cache_creation":{"ephemeral_5m_input_tokens":1162,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"6de38aa2-2652-4012-881c-16156d3f49bb"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M7VDYk2ut9UkeYAKBjg8Fd","type":"tool_result","content":"The file /home/runner/work/claude-task-master/claude-task-master/apps/docs/best-practices/configuration-advanced.mdx has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n    85→  }\n    86→}\n    87→```\n    88→\n    89→**Key points:**\n    90→- **Default MCP timeout**: 60 seconds (often insufficient for AI operations)\n    91→- **Recommended timeout**: 300 seconds (5 minutes) \n    92→- **Operations that benefit**: `parse_prd`, `expand_task`, `analyze_project_complexity`, `research`\n    93→- **Automatic setup**: Included when using `task-master rules add` for supported editors\n    94→\n    95→- **Required API Keys (Depending on configured providers):**\n    96→  - `ANTHROPIC_API_KEY`: Your Anthropic API key.\n    97→  - `PERPLEXITY_API_KEY`: Your Perplexity API key.\n    98→  - `OPENAI_API_KEY`: Your OpenAI API key.\n    99→  - `GOOGLE_API_KEY`: Your Google API key (also used for Vertex AI provider)."}]},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"af5d55d1-96a9-4596-aa07-fe705c2d890e"}
{"type":"assistant","message":{"id":"msg_018K4Hh72TbzDvsnAr1SF2Wf","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[{"type":"text","text":"Perfect! Now I've successfully updated the documentation in the `apps/docs/` directory to include the new MCP timeout configuration feature. Let me summarize what I've done:\n\n## Documentation Updates Completed\n\nI've updated the user-facing documentation in `apps/docs/` to reflect the new MCP timeout configuration feature that was added in the recent commit. Here's what was updated:\n\n### 1. MCP Tools Documentation (`capabilities/mcp.mdx`)\n- Added a comprehensive **MCP Timeout Configuration** section at the beginning\n- Explained the problem: long-running AI operations can exceed the default 60-second timeout\n- Provided clear configuration example with `timeout: 300`\n- Documented automatic setup via `task-master rules add` commands\n- Added troubleshooting guidance for timeout issues\n\n### 2. Quick Configuration Guide (`getting-started/quick-start/configuration-quick.mdx`)\n- Updated the MCP configuration example to include `timeout: 300`\n- Added a note explaining the importance of the timeout setting for complex operations\n\n### 3. Advanced Configuration Guide (`best-practices/configuration-advanced.mdx`)\n- Added a dedicated **MCP Timeout Configuration** section\n- Provided detailed explanation of default vs recommended timeout values\n- Listed which operations benefit from increased timeout\n- Mentioned automatic setup for supported editors\n\n## Key Points Documented\n\nThe documentation now clearly explains:\n\n- **Problem**: Default 60-second MCP timeout insufficient for AI operations\n- **Solution**: Configure `timeout: 300` (5 minutes) in MCP configuration\n- **Benefit**: Operations like `parse_prd`, `expand_task`, `analyze_project_complexity`, and `research` complete successfully\n- **Automatic Setup**: When using `task-master rules add` for supported editors (Cursor, Roo, Windsurf, VS Code)\n- **Troubleshooting**: Steps to resolve timeout issues\n\nThe documentation updates are user-focused, practical, and provide both quick-start examples and detailed configuration guidance. Users will now have the information they need to properly configure MCP timeouts for reliable long-running AI operations."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":663,"cache_read_input_tokens":54020,"cache_creation":{"ephemeral_5m_input_tokens":663,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"parent_tool_use_id":null,"session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","uuid":"b828e130-e7f0-40bd-8480-43ee477a7e82"}
{"type":"result","subtype":"success","is_error":false,"duration_ms":385031,"duration_api_ms":100862,"num_turns":46,"result":"Perfect! Now I've successfully updated the documentation in the `apps/docs/` directory to include the new MCP timeout configuration feature. Let me summarize what I've done:\n\n## Documentation Updates Completed\n\nI've updated the user-facing documentation in `apps/docs/` to reflect the new MCP timeout configuration feature that was added in the recent commit. Here's what was updated:\n\n### 1. MCP Tools Documentation (`capabilities/mcp.mdx`)\n- Added a comprehensive **MCP Timeout Configuration** section at the beginning\n- Explained the problem: long-running AI operations can exceed the default 60-second timeout\n- Provided clear configuration example with `timeout: 300`\n- Documented automatic setup via `task-master rules add` commands\n- Added troubleshooting guidance for timeout issues\n\n### 2. Quick Configuration Guide (`getting-started/quick-start/configuration-quick.mdx`)\n- Updated the MCP configuration example to include `timeout: 300`\n- Added a note explaining the importance of the timeout setting for complex operations\n\n### 3. Advanced Configuration Guide (`best-practices/configuration-advanced.mdx`)\n- Added a dedicated **MCP Timeout Configuration** section\n- Provided detailed explanation of default vs recommended timeout values\n- Listed which operations benefit from increased timeout\n- Mentioned automatic setup for supported editors\n\n## Key Points Documented\n\nThe documentation now clearly explains:\n\n- **Problem**: Default 60-second MCP timeout insufficient for AI operations\n- **Solution**: Configure `timeout: 300` (5 minutes) in MCP configuration\n- **Benefit**: Operations like `parse_prd`, `expand_task`, `analyze_project_complexity`, and `research` complete successfully\n- **Automatic Setup**: When using `task-master rules add` for supported editors (Cursor, Roo, Windsurf, VS Code)\n- **Troubleshooting**: Steps to resolve timeout issues\n\nThe documentation updates are user-focused, practical, and provide both quick-start examples and detailed configuration guidance. Users will now have the information they need to properly configure MCP timeouts for reliable long-running AI operations.","session_id":"c403e406-34c5-4f15-89a1-35b4a80dc0ac","total_cost_usd":0.4233443,"usage":{"input_tokens":1,"cache_creation_input_tokens":663,"cache_read_input_tokens":54020,"output_tokens":476,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"},"permission_denials":[],"uuid":"16c4388e-69d2-46d9-a33f-4052408d85b8"}